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jhao104/proxy_pool
https://github.com/jhao104/proxy_pool
null
null
null
null
23,322
null
null
mit
null
null
null
null
null
null
null
helper/scheduler.py
null
null
null
null
null
null
Python
2026-05-04T02:29:23.733394
# -*- coding: utf-8 -*- """ ------------------------------------------------- File Name: proxyScheduler Description : Author : JHao date: 2019/8/5 ------------------------------------------------- Change Activity: 2019/08/05: proxyScheduler 2021/0...
jhao104/proxy_pool
https://github.com/jhao104/proxy_pool
null
null
null
null
23,322
null
null
mit
null
null
null
null
null
null
null
helper/validator.py
null
null
null
null
null
null
Python
2026-05-04T02:29:23.953235
# -*- coding: utf-8 -*- """ ------------------------------------------------- File Name: _validators Description : 定义proxy验证方法 Author : JHao date: 2021/5/25 ------------------------------------------------- Change Activity: 2023/03/10: 支持带用户认证的代理格式 username:passwo...
jhao104/proxy_pool
https://github.com/jhao104/proxy_pool
null
null
null
null
23,322
null
null
mit
null
null
null
null
null
null
null
test.py
null
null
null
null
null
null
Python
2026-05-04T02:29:24.065401
# -*- coding: utf-8 -*- """ ------------------------------------------------- File Name: test.py Description : Author : JHao date: 2017/3/7 ------------------------------------------------- Change Activity: 2017/3/7: ---------------------------------------------...
jhao104/proxy_pool
https://github.com/jhao104/proxy_pool
null
null
null
null
23,322
null
null
mit
null
null
null
null
null
null
null
test/testProxyFetcher.py
null
null
null
null
null
null
Python
2026-05-04T02:29:24.188349
# -*- coding: utf-8 -*- """ ------------------------------------------------- File Name: testProxyFetcher Description : Author : JHao date: 2020/6/23 ------------------------------------------------- Change Activity: 2020/6/23: --------------------------------------...
jhao104/proxy_pool
https://github.com/jhao104/proxy_pool
null
null
null
null
23,322
null
null
mit
null
null
null
null
null
null
null
test/testRedisClient.py
null
null
null
null
null
null
Python
2026-05-04T02:29:24.195292
# -*- coding: utf-8 -*- """ ------------------------------------------------- File Name: testRedisClient Description : Author : JHao date: 2020/6/23 ------------------------------------------------- Change Activity: 2020/6/23: ---------------------------------------...
jhao104/proxy_pool
https://github.com/jhao104/proxy_pool
null
null
null
null
23,322
null
null
mit
null
null
null
null
null
null
null
test/testConfigHandler.py
null
null
null
null
null
null
Python
2026-05-04T02:29:24.196435
# -*- coding: utf-8 -*- """ ------------------------------------------------- File Name: testGetConfig Description : testGetConfig Author : J_hao date: 2017/7/31 ------------------------------------------------- Change Activity: 2017/7/31: ------------------------...
jhao104/proxy_pool
https://github.com/jhao104/proxy_pool
null
null
null
null
23,322
null
null
mit
null
null
null
null
null
null
null
test/testProxyValidator.py
null
null
null
null
null
null
Python
2026-05-04T02:29:24.198053
# -*- coding: utf-8 -*- """ ------------------------------------------------- File Name: testProxyValidator Description : Author : JHao date: 2021/5/25 ------------------------------------------------- Change Activity: 2021/5/25: ------------------------------------...
jhao104/proxy_pool
https://github.com/jhao104/proxy_pool
null
null
null
null
23,322
null
null
mit
null
null
null
null
null
null
null
setting.py
null
null
null
null
null
null
Python
2026-05-04T02:29:24.249411
# -*- coding: utf-8 -*- """ ------------------------------------------------- File Name: setting.py Description : 配置文件 Author : JHao date: 2019/2/15 ------------------------------------------------- Change Activity: 2019/2/15: -------------------------------------...
jhao104/proxy_pool
https://github.com/jhao104/proxy_pool
null
null
null
null
23,322
null
null
mit
null
null
null
null
null
null
null
test/testSsdbClient.py
null
null
null
null
null
null
Python
2026-05-04T02:29:24.361672
# -*- coding: utf-8 -*- """ ------------------------------------------------- File Name: testSsdbClient Description : Author : JHao date: 2020/7/3 ------------------------------------------------- Change Activity: 2020/7/3: ------------------------------------------...
jhao104/proxy_pool
https://github.com/jhao104/proxy_pool
null
null
null
null
23,322
null
null
mit
null
null
null
null
null
null
null
util/__init__.py
null
null
null
null
null
null
Python
2026-05-04T02:29:24.575999
# -*- coding: utf-8 -*- """ ------------------------------------------------- File Name: __init__ Description : Author : JHao date: 2020/7/6 ------------------------------------------------- Change Activity: 2020/7/6: ------------------------------------------------...
jhao104/proxy_pool
https://github.com/jhao104/proxy_pool
null
null
null
null
23,322
null
null
mit
null
null
null
null
null
null
null
util/lazyProperty.py
null
null
null
null
null
null
Python
2026-05-04T02:29:24.631908
# -*- coding: utf-8 -*- """ ------------------------------------------------- File Name: lazyProperty Description : Author : JHao date: 2016/12/3 ------------------------------------------------- Change Activity: 2016/12/3: ------------------------------------------...
jhao104/proxy_pool
https://github.com/jhao104/proxy_pool
null
null
null
null
23,322
null
null
mit
null
null
null
null
null
null
null
proxyPool.py
null
null
null
null
null
null
Python
2026-05-04T02:29:24.679054
# -*- coding: utf-8 -*- """ ------------------------------------------------- File Name: proxy_pool Description : proxy pool 启动入口 Author : JHao date: 2020/6/19 ------------------------------------------------- Change Activity: 2020/6/19: --------------------------...
jhao104/proxy_pool
https://github.com/jhao104/proxy_pool
null
null
null
null
23,322
null
null
mit
null
null
null
null
null
null
null
util/six.py
null
null
null
null
null
null
Python
2026-05-04T02:29:24.763185
# -*- coding: utf-8 -*- """ ------------------------------------------------- File Name: six Description : Author : JHao date: 2020/6/22 ------------------------------------------------- Change Activity: 2020/6/22: ------------------------------------------------- "...
jhao104/proxy_pool
https://github.com/jhao104/proxy_pool
null
null
null
null
23,322
null
null
mit
null
null
null
null
null
null
null
util/singleton.py
null
null
null
null
null
null
Python
2026-05-04T02:29:24.791871
# -*- coding: utf-8 -*- """ ------------------------------------------------- File Name: singleton Description : Author : JHao date: 2016/12/3 ------------------------------------------------- Change Activity: 2016/12/3: ---------------------------------------------...
jhao104/proxy_pool
https://github.com/jhao104/proxy_pool
null
null
null
null
23,322
null
null
mit
null
null
null
null
null
null
null
util/webRequest.py
null
null
null
null
null
null
Python
2026-05-04T02:29:24.816920
# -*- coding: utf-8 -*- """ ------------------------------------------------- File Name: WebRequest Description : Network Requests Class Author : J_hao date: 2017/7/31 ------------------------------------------------- Change Activity: 2017/7/31: ------------------...
jhao104/proxy_pool
https://github.com/jhao104/proxy_pool
null
null
null
null
23,322
null
null
mit
null
null
null
null
null
null
null
test/testProxyClass.py
null
null
null
null
null
null
Python
2026-05-04T02:29:28.377875
# -*- coding: utf-8 -*- """ ------------------------------------------------- File Name: testProxyClass Description : Author : JHao date: 2019/8/8 ------------------------------------------------- Change Activity: 2019/8/8: ------------------------------------------...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
Evaluation/HumanEval/utils/dataset.py
null
null
null
null
null
null
Python
2026-05-04T02:29:30.682402
import os import numpy as np import json class HumanEvalDataset: def __init__(self, root, sample_num=1, language="python", issft=False): """ root: the path to the HumanEval dataset sample_num: the number of samples for each prompt language: the language of the HumanEval dataset ...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
Evaluation/HumanEval/eval_instruct.py
null
null
null
null
null
null
Python
2026-05-04T02:29:30.691498
import argparse import json import os import torch from pathlib import Path from tqdm import tqdm data_abs_dir = Path(__file__).parent / "data" from utils.utils import extract_generation_code, languge_settings from transformers import AutoTokenizer, AutoModelForCausalLM from human_eval.evaluation import evaluate_func...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
Evaluation/HumanEval/human_eval/evaluate_functional_correctness.py
null
null
null
null
null
null
Python
2026-05-04T02:29:30.696410
import fire import sys from .data import HUMAN_EVAL from .evaluation import evaluate_functional_correctness def entry_point( sample_file: str, k: str = "1,10,100", n_workers: int = 4, timeout: float = 3.0, problem_file: str = "", is_mbpp: bool = False, ): """ Evaluates the functional ...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
Evaluation/HumanEval/human_eval/data.py
null
null
null
null
null
null
Python
2026-05-04T02:29:30.697997
from typing import Iterable, Dict import gzip import json import os ROOT = os.path.dirname(os.path.abspath(__file__)) HUMAN_EVAL = os.path.join(ROOT, "..", "data", "HumanEval.jsonl.gz") def read_problems(evalset_file: str = HUMAN_EVAL) -> Dict[str, Dict]: return {task["task_id"]: task for task in stream_jsonl(e...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
Evaluation/HumanEval/human_eval/evaluation.py
null
null
null
null
null
null
Python
2026-05-04T02:29:30.718074
import os import sys import fire import json import gzip import regex import numpy as np import itertools from typing import * from tqdm.auto import tqdm from collections import defaultdict from concurrent.futures import ThreadPoolExecutor, as_completed from .data import stream_jsonl from .execution import check_corre...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
Evaluation/HumanEval/eval_pal.py
null
null
null
null
null
null
Python
2026-05-04T02:29:30.719151
import os import numpy as np import pandas as pd import torch import torch.nn.functional as F import json import torch.distributed as dist import subprocess import sys from accelerate import Accelerator from accelerate import DistributedDataParallelKwargs from pathlib import Path from argparse import ArgumentParser fro...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
Evaluation/HumanEval/utils/utils.py
null
null
null
null
null
null
Python
2026-05-04T02:29:30.726417
import re languge_settings = { 'python': { 'full_name': 'Python', 'indent': 4, }, 'cpp': { 'full_name': 'cpp', 'indent': 0, 'main': "int main()", }, 'java': { 'full_name': 'Java', 'indent': 4, 'main': "public static void main", }, ...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
Evaluation/HumanEval/human_eval/execution.py
null
null
null
null
null
null
Python
2026-05-04T02:29:30.727786
import contextlib import faulthandler import io import multiprocessing import os import platform import signal import random import subprocess import tempfile import gzip import json from typing import * import traceback java_exec = "" node_exec = "" tsc_exec = "" go_exec = "" php_exec = "" cs_exec = "" def check_cor...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
Evaluation/HumanEval/humaneval.py
null
null
null
null
null
null
Python
2026-05-04T02:29:30.742985
import time import string import multiprocessing import os import numpy as np import json import re import torch import datetime import subprocess import torch.distributed as dist from attrdict import AttrDict from human_eval.evaluation import evaluate_functional_correctness from transformers import AutoTokenizer from ...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
Evaluation/MBPP/eval_pal.py
null
null
null
null
null
null
Python
2026-05-04T02:29:32.052269
import os import numpy as np import pandas as pd import torch import torch.nn.functional as F import json import torch.distributed as dist import subprocess import sys from accelerate import Accelerator from accelerate import DistributedDataParallelKwargs from pathlib import Path from argparse import ArgumentParser fro...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
Evaluation/LeetCode/evaluate_leetcode.py
null
null
null
null
null
null
Python
2026-05-04T02:29:32.053437
import re import json from pathlib import Path from collections import defaultdict from human_eval.evaluation import evaluate_functional_correctness version = "20240121-Jul" DATA_DIR = Path(__file__).parent / "data" def extract_python_code(generation: str): generation = generation.replace("[PYTHON]", '```python'...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
Evaluation/LeetCode/human_eval/data.py
null
null
null
null
null
null
Python
2026-05-04T02:29:32.055912
from typing import Iterable, Dict import gzip import json import os ROOT = os.path.dirname(os.path.abspath(__file__)) HUMAN_EVAL = os.path.join(ROOT, "..", "data", "HumanEval.jsonl.gz") def read_problems(evalset_file: str = HUMAN_EVAL) -> Dict[str, Dict]: return {task["task_id"]: task for task in stream_jsonl(e...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
Evaluation/LeetCode/vllm_inference.py
null
null
null
null
null
null
Python
2026-05-04T02:29:32.056946
from vllm import LLM, SamplingParams import json from transformers import AutoTokenizer from pathlib import Path version = "20240121-Jul" def generate_batch(examples, tokenizer, llm, model: str): stop = None if model == 'deepseekcoder-instruct': prompts = [ tokenizer.apply_chat_template([{...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
Evaluation/MBPP/eval_instruct.py
null
null
null
null
null
null
Python
2026-05-04T02:29:32.058105
import argparse import json import os import torch import re from pathlib import Path from tqdm import tqdm data_abs_dir = Path(__file__).parent / "data" from transformers import AutoTokenizer, AutoModelForCausalLM from human_eval.evaluation import evaluate_functional_correctness def read_test_examples(data_path: st...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
Evaluation/LeetCode/human_eval/execution.py
null
null
null
null
null
null
Python
2026-05-04T02:29:32.059516
import contextlib import faulthandler import io import multiprocessing import os import platform import signal import random import subprocess import tempfile import gzip import json from typing import * import traceback java_exec = "" node_exec = "" tsc_exec = "" go_exec = "" php_exec = "" cs_exec = "" def check_cor...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
Evaluation/LeetCode/human_eval/evaluation.py
null
null
null
null
null
null
Python
2026-05-04T02:29:32.060419
import os import json import gzip import numpy as np import itertools from typing import * from tqdm.auto import tqdm from collections import defaultdict from concurrent.futures import ThreadPoolExecutor, as_completed from human_eval.data import stream_jsonl from human_eval.execution import check_correctness IMPORT_H...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
Evaluation/MBPP/human_eval/data.py
null
null
null
null
null
null
Python
2026-05-04T02:29:33.581322
from typing import Iterable, Dict import gzip import json import os ROOT = os.path.dirname(os.path.abspath(__file__)) HUMAN_EVAL = os.path.join(ROOT, "..", "data", "HumanEval.jsonl.gz") def read_problems(evalset_file: str = HUMAN_EVAL) -> Dict[str, Dict]: return {task["task_id"]: task for task in stream_jsonl(e...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
Evaluation/PAL-Math/run.py
null
null
null
null
null
null
Python
2026-05-04T02:29:34.184199
import os import re import json import argparse import torch import numpy as np from utils.parser import * from utils.grader import * from utils.python_executor import PythonExecutor from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig def extract_python_block_with_solution(text): """ ...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
Evaluation/MBPP/utils/utils.py
null
null
null
null
null
null
Python
2026-05-04T02:29:34.184769
def cleanup_code( code: str, language_type: str = None, dataset: str = None, issft: bool = False, stop_words = [] ): """ Cleans up the generated code. """ if language_type.lower() == "python": if issft: code = _clean_python_code_for_sft(code) stop_words =...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
Evaluation/MBPP/human_eval/evaluation.py
null
null
null
null
null
null
Python
2026-05-04T02:29:34.186950
import os import json import gzip import numpy as np import itertools from typing import * from tqdm.auto import tqdm from collections import defaultdict from concurrent.futures import ThreadPoolExecutor, as_completed from .data import stream_jsonl from .execution import check_correctness IMPORT_HELPER = { "python...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
Evaluation/PAL-Math/utils/grader.py
null
null
null
null
null
null
Python
2026-05-04T02:29:34.260933
""" This logic is largely copied from the Hendrycks' MATH release (math_equivalence), and borrowed from: - https://github.com/microsoft/ProphetNet/tree/master/CRITIC - https://github.com/openai/prm800k """ import multiprocessing from math import isclose from typing import Union from sympy import simplify, N from sympy...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
Evaluation/MBPP/mbpp.py
null
null
null
null
null
null
Python
2026-05-04T02:29:34.295878
import time import string import multiprocessing import os import numpy as np import json import re import torch import datetime import subprocess import torch.distributed as dist from attrdict import AttrDict from tqdm import tqdm from human_eval.evaluation import evaluate_functional_correctness from transformers impo...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
Evaluation/MBPP/utils/dataset.py
null
null
null
null
null
null
Python
2026-05-04T02:29:34.374058
import os import numpy as np import json class MBPPDataset: def __init__(self, root, samplenum=1): """ root: 数据文件的根目录 """ self.root = root self.data = open(os.path.join(root, "mbpp.jsonl")).readlines() self.clean_data = self.get_qa_only_data(self.data) self...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
Evaluation/MBPP/human_eval/execution.py
null
null
null
null
null
null
Python
2026-05-04T02:29:34.374846
import contextlib import faulthandler import io import multiprocessing import os import platform import signal import random import subprocess import tempfile import gzip import json from typing import * import traceback java_exec = "" node_exec = "" tsc_exec = "" go_exec = "" php_exec = "" cs_exec = "" def check_cor...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
Evaluation/MBPP/human_eval/evaluate_functional_correctness.py
null
null
null
null
null
null
Python
2026-05-04T02:29:34.539063
import fire import sys from .data import HUMAN_EVAL from .evaluation import evaluate_functional_correctness def entry_point( sample_file: str, k: str = "1,10,100", n_workers: int = 4, timeout: float = 3.0, problem_file: str = "", is_mbpp: bool = False, ): """ Evaluates the functional ...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
Evaluation/PAL-Math/utils/parser.py
null
null
null
null
null
null
Python
2026-05-04T02:29:34.614956
""" This file come from: https://github.com/microsoft/ToRA/blob/main/src/utils/parser.py """ import re from typing import Any, Dict def _fix_fracs(string): substrs = string.split("\\frac") new_str = substrs[0] if len(substrs) > 1: substrs = substrs[1:] for substr in substrs: ne...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
finetune/finetune_deepseekcoder.py
null
null
null
null
null
null
Python
2026-05-04T02:29:34.733166
import copy import random from dataclasses import dataclass, field from typing import Optional, Dict, Sequence import torch import torch.distributed import transformers from transformers import Trainer from datasets import load_dataset IGNORE_INDEX = -100 EOT_TOKEN = "<|EOT|>" def build_instruction_prompt(instructi...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
demo/app.py
null
null
null
null
null
null
Python
2026-05-04T02:29:34.844936
import os from threading import Thread from typing import Iterator import gradio as gr import spaces import torch from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer MAX_MAX_NEW_TOKENS = 2048 DEFAULT_MAX_NEW_TOKENS = 1024 MAX_INPUT_TOKEN_LENGTH = int(os.getenv("MAX_INPUT_TOKEN_LENGTH",...
deepseek-ai/DeepSeek-Coder
https://github.com/deepseek-ai/DeepSeek-Coder
null
null
null
null
23,230
null
null
mit
null
null
null
null
null
null
null
Evaluation/PAL-Math/utils/python_executor.py
null
null
null
null
null
null
Python
2026-05-04T02:29:39.422825
""" This file come from: https://github.com/microsoft/ToRA/blob/main/src/utils/python_executor.py """ import io import regex import pickle import traceback import copy import datetime import multiprocessing import dateutil.relativedelta import multiprocess from multiprocess import Pool from typing import Any, Dict, Opt...
timqian/chinese-independent-blogs
https://github.com/timqian/chinese-independent-blogs
null
null
null
null
23,214
null
null
mit
null
null
null
null
null
null
null
opml_generator.py
null
null
null
null
null
null
Python
2026-05-04T02:29:41.826525
from xml.sax.saxutils import quoteattr with open('blogs-original.csv', 'r') as f: file_content = f.read() lines = file_content.split('\n') HEAD = '<?xml version="1.0" encoding="UTF-8"?><opml version="1.0"><head><title>中文独立博客列表</title></head><body>' END = '</body></opml>' ITEM = '<outline text={title} title={tit...
timqian/chinese-independent-blogs
https://github.com/timqian/chinese-independent-blogs
null
null
null
null
23,214
null
null
mit
null
null
null
null
null
null
null
readme_render.py
null
null
null
null
null
null
Python
2026-05-04T02:29:41.849879
import csv csv_file_path = 'blogs-original.csv' def main(): print("""\ # 中文独立博客列表 [![](https://badgen.net/badge/icon/Website?icon=chrome&label)](https://feeds.pub/cn-indie) [![](https://badgen.net/badge/icon/Telegram?icon=telegram&label)](https://t.me/indieBlogs) [![](https://badgen.net/badge/icon/Blog?icon=...
timqian/chinese-independent-blogs
https://github.com/timqian/chinese-independent-blogs
null
null
null
null
23,214
null
null
mit
null
null
null
null
null
null
null
linter.py
null
null
null
null
null
null
Python
2026-05-04T02:29:41.975976
import csv csv_file_path = 'blogs-original.csv' def check_tags(tags: str): assert tags == tags.strip(), "leading/trailing whitespace" assert not any([tag.startswith(' ') or tag.endswith(' ') for tag in tags.split(',')]), "leading/trailing whitespace in tags" assert not any([tag == '' for tag in tags.spli...
KEV0143/Comparative-analysis-of-hourly-load-forecasting-using-PatchTST-TFT-NHiTS-and-CatBoost
https://github.com/KEV0143/Comparative-analysis-of-hourly-load-forecasting-using-PatchTST-TFT-NHiTS-and-CatBoost
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
Utils/NHits.py
null
null
null
null
null
null
Python
2026-05-04T02:29:48.410332
from __future__ import annotations import gc import math import os import platform import sys import warnings from dataclasses import dataclass from pathlib import Path from typing import Any import matplotlib.pyplot as plt import numpy as np import pandas as pd try: from .DataIO import read_tabular_frame except...
KEV0143/Comparative-analysis-of-hourly-load-forecasting-using-PatchTST-TFT-NHiTS-and-CatBoost
https://github.com/KEV0143/Comparative-analysis-of-hourly-load-forecasting-using-PatchTST-TFT-NHiTS-and-CatBoost
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
Utils/CatBoost.py
null
null
null
null
null
null
Python
2026-05-04T02:29:48.411983
from __future__ import annotations import re import sys from dataclasses import dataclass from pathlib import Path from typing import Any import matplotlib.pyplot as plt import numpy as np import pandas as pd from matplotlib.ticker import PercentFormatter try: from .DataIO import read_tabular_frame except Import...
KEV0143/Comparative-analysis-of-hourly-load-forecasting-using-PatchTST-TFT-NHiTS-and-CatBoost
https://github.com/KEV0143/Comparative-analysis-of-hourly-load-forecasting-using-PatchTST-TFT-NHiTS-and-CatBoost
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
Utils/ForecastStyle.py
null
null
null
null
null
null
Python
2026-05-04T02:29:48.416883
from __future__ import annotations import matplotlib.dates as mdates import matplotlib.pyplot as plt class ForecastFigureStyle: figure_size = (12.8, 6.45) dpi = 150 actual_color = "#272829" model_color = "#0D53E0" grid_major = "#D5DBE6" grid_minor = "#ECEFF4" spine_color = "#8B919A" t...
KEV0143/Comparative-analysis-of-hourly-load-forecasting-using-PatchTST-TFT-NHiTS-and-CatBoost
https://github.com/KEV0143/Comparative-analysis-of-hourly-load-forecasting-using-PatchTST-TFT-NHiTS-and-CatBoost
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
Utils/TFT.py
null
null
null
null
null
null
Python
2026-05-04T02:29:48.419146
from __future__ import annotations import gc import math import os import platform import sys import warnings from dataclasses import dataclass from pathlib import Path from typing import Any import matplotlib.pyplot as plt import numpy as np import pandas as pd try: from .DataIO import read_tabular_frame except...
KEV0143/Comparative-analysis-of-hourly-load-forecasting-using-PatchTST-TFT-NHiTS-and-CatBoost
https://github.com/KEV0143/Comparative-analysis-of-hourly-load-forecasting-using-PatchTST-TFT-NHiTS-and-CatBoost
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
main.py
null
null
null
null
null
null
Python
2026-05-04T02:29:48.419982
from __future__ import annotations import argparse import importlib import os import sys from collections.abc import Callable, Sequence from dataclasses import dataclass from enum import Enum from pathlib import Path from types import ModuleType PROJECT_ROOT = Path(__file__).resolve().parent class PipelineTarget(s...
KEV0143/Comparative-analysis-of-hourly-load-forecasting-using-PatchTST-TFT-NHiTS-and-CatBoost
https://github.com/KEV0143/Comparative-analysis-of-hourly-load-forecasting-using-PatchTST-TFT-NHiTS-and-CatBoost
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
Utils/DataIO.py
null
null
null
null
null
null
Python
2026-05-04T02:29:48.420496
from __future__ import annotations from pathlib import Path import pandas as pd def read_tabular_frame(source_path: Path) -> pd.DataFrame: if source_path.suffix.lower() == ".xlsx": frame = pd.read_excel(source_path, engine="openpyxl") else: frame = pd.read_csv(source_path, sep=None, engine="...
KEV0143/Comparative-analysis-of-hourly-load-forecasting-using-PatchTST-TFT-NHiTS-and-CatBoost
https://github.com/KEV0143/Comparative-analysis-of-hourly-load-forecasting-using-PatchTST-TFT-NHiTS-and-CatBoost
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
Utils/PatchTST.py
null
null
null
null
null
null
Python
2026-05-04T02:29:48.426340
from __future__ import annotations import gc import math import os import platform import sys import warnings from dataclasses import dataclass from pathlib import Path from typing import Any import matplotlib.pyplot as plt import numpy as np import pandas as pd try: from .DataIO import read_tabular_frame except...
KEV0143/Comparative-analysis-of-hourly-load-forecasting-using-PatchTST-TFT-NHiTS-and-CatBoost
https://github.com/KEV0143/Comparative-analysis-of-hourly-load-forecasting-using-PatchTST-TFT-NHiTS-and-CatBoost
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
Utils/DataAnalysis.py
null
null
null
null
null
null
Python
2026-05-04T02:29:48.433208
from __future__ import annotations import argparse import sys from collections.abc import Iterable, Sequence from dataclasses import dataclass from pathlib import Path import matplotlib.dates as mdates import matplotlib.pyplot as plt import numpy as np import pandas as pd import seaborn as sns try: from .DataIO ...
awslabs/aws-cfn-template-flip
https://github.com/awslabs/aws-cfn-template-flip
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
cfn_tools/__init__.py
null
null
null
null
null
null
Python
2026-05-04T02:29:52.795696
""" Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with the License. A copy of the License is located at http://aws.amazon.com/apache2.0/ or in the "license" file accompanying t...
awslabs/aws-cfn-template-flip
https://github.com/awslabs/aws-cfn-template-flip
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
cfn_clean/yaml_dumper.py
null
null
null
null
null
null
Python
2026-05-04T02:29:52.819498
""" Copyright 2016-2017 Amazon.com, Inc. or its affiliates. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with the License. A copy of the License is located at http://aws.amazon.com/apache2.0/ or in the "license" file accompany...
awslabs/aws-cfn-template-flip
https://github.com/awslabs/aws-cfn-template-flip
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
cfn_flip/main.py
null
null
null
null
null
null
Python
2026-05-04T02:29:52.820780
""" Copyright 2016-2017 Amazon.com, Inc. or its affiliates. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with the License. A copy of the License is located at http://aws.amazon.com/apache2.0/ or in the "license" file accompany...
awslabs/aws-cfn-template-flip
https://github.com/awslabs/aws-cfn-template-flip
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
cfn_clean/__init__.py
null
null
null
null
null
null
Python
2026-05-04T02:29:52.830297
""" Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with the License. A copy of the License is located at https://aws.amazon.com/apache2.0/ or in the "license" file accompanying ...
awslabs/aws-cfn-template-flip
https://github.com/awslabs/aws-cfn-template-flip
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
cfn_tools/json_encoder.py
null
null
null
null
null
null
Python
2026-05-04T02:29:52.840125
""" Copyright 2016-2017 Amazon.com, Inc. or its affiliates. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with the License. A copy of the License is located at http://aws.amazon.com/apache2.0/ or in the "license" file accompany...
awslabs/aws-cfn-template-flip
https://github.com/awslabs/aws-cfn-template-flip
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
cfn_flip/__main__.py
null
null
null
null
null
null
Python
2026-05-04T02:29:52.851077
""" Copyright 2016-2017 Amazon.com, Inc. or its affiliates. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with the License. A copy of the License is located at http://aws.amazon.com/apache2.0/ or in the "license" file accompany...
awslabs/aws-cfn-template-flip
https://github.com/awslabs/aws-cfn-template-flip
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
cfn_tools/literal.py
null
null
null
null
null
null
Python
2026-05-04T02:29:52.851607
""" Copyright 2016-2017 Amazon.com, Inc. or its affiliates. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with the License. A copy of the License is located at http://aws.amazon.com/apache2.0/ or in the "license" file accompany...
awslabs/aws-cfn-template-flip
https://github.com/awslabs/aws-cfn-template-flip
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
cfn_tools/_config.py
null
null
null
null
null
null
Python
2026-05-04T02:29:52.853917
"""Configuration file for cfn_flip.""" import inspect import logging import os from typing import Any, Dict, NamedTuple, Optional, Type _logger: logging.Logger = logging.getLogger(__name__) class _ConfigArg(NamedTuple): dtype: Type nullable: bool = True has_default: bool = False default: Any = None ...
awslabs/aws-cfn-template-flip
https://github.com/awslabs/aws-cfn-template-flip
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
cfn_flip/__init__.py
null
null
null
null
null
null
Python
2026-05-04T02:29:52.880570
""" Copyright 2016-2017 Amazon.com, Inc. or its affiliates. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with the License. A copy of the License is located at http://aws.amazon.com/apache2.0/ or in the "license" file accompany...
awslabs/aws-cfn-template-flip
https://github.com/awslabs/aws-cfn-template-flip
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
cfn_flip/yaml_dumper.py
null
null
null
null
null
null
Python
2026-05-04T02:29:52.888373
""" Copyright 2016-2017 Amazon.com, Inc. or its affiliates. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with the License. A copy of the License is located at http://aws.amazon.com/apache2.0/ or in the "license" file accompany...
awslabs/aws-cfn-template-flip
https://github.com/awslabs/aws-cfn-template-flip
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
cfn_tools/odict.py
null
null
null
null
null
null
Python
2026-05-04T02:29:53.386621
""" Copyright 2016-2017 Amazon.com, Inc. or its affiliates. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with the License. A copy of the License is located at http://aws.amazon.com/apache2.0/ or in the "license" file accompany...
awslabs/aws-cfn-template-flip
https://github.com/awslabs/aws-cfn-template-flip
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
cfn_tools/yaml_dumper.py
null
null
null
null
null
null
Python
2026-05-04T02:29:53.410985
""" Copyright 2016-2017 Amazon.com, Inc. or its affiliates. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with the License. A copy of the License is located at http://aws.amazon.com/apache2.0/ or in the "license" file accompany...
awslabs/aws-cfn-template-flip
https://github.com/awslabs/aws-cfn-template-flip
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
cfn_tools/yaml_loader.py
null
null
null
null
null
null
Python
2026-05-04T02:29:53.453611
""" Copyright 2016-2017 Amazon.com, Inc. or its affiliates. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with the License. A copy of the License is located at http://aws.amazon.com/apache2.0/ or in the "license" file accompany...
awslabs/aws-cfn-template-flip
https://github.com/awslabs/aws-cfn-template-flip
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
setup.py
null
null
null
null
null
null
Python
2026-05-04T02:29:53.471729
""" Copyright 2016-2017 Amazon.com, Inc. or its affiliates. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with the License. A copy of the License is located at http://aws.amazon.com/apache2.0/ or in the "license" file accompany...
awslabs/aws-cfn-template-flip
https://github.com/awslabs/aws-cfn-template-flip
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
tests/test_clean.py
null
null
null
null
null
null
Python
2026-05-04T02:29:53.475748
""" Copyright 2016-2017 Amazon.com, Inc. or its affiliates. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with the License. A copy of the License is located at http://aws.amazon.com/apache2.0/ or in the "license" file accompany...
awslabs/aws-cfn-template-flip
https://github.com/awslabs/aws-cfn-template-flip
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
tests/test_cli.py
null
null
null
null
null
null
Python
2026-05-04T02:29:53.481495
# -*- coding: utf-8 -*- # # tests/cli.py # # Copyright 2015 Amazon.com, Inc. or its affiliates. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache....
awslabs/aws-cfn-template-flip
https://github.com/awslabs/aws-cfn-template-flip
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
tests/test_config.py
null
null
null
null
null
null
Python
2026-05-04T02:29:53.484578
# -*- coding: utf-8 -*- # # tests/cli.py # # Copyright 2015 Amazon.com, Inc. or its affiliates. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache....
awslabs/aws-cfn-template-flip
https://github.com/awslabs/aws-cfn-template-flip
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
tests/test_odict.py
null
null
null
null
null
null
Python
2026-05-04T02:29:53.487156
""" Copyright 2016-2017 Amazon.com, Inc. or its affiliates. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with the License. A copy of the License is located at http://aws.amazon.com/apache2.0/ or in the "license" file accompany...
awslabs/aws-cfn-template-flip
https://github.com/awslabs/aws-cfn-template-flip
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
tests/test_flip.py
null
null
null
null
null
null
Python
2026-05-04T02:29:53.489981
""" Copyright 2016-2017 Amazon.com, Inc. or its affiliates. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with the License. A copy of the License is located at http://aws.amazon.com/apache2.0/ or in the "license" file accompany...
awslabs/aws-cfn-template-flip
https://github.com/awslabs/aws-cfn-template-flip
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
tests/test_step_functions_template.py
null
null
null
null
null
null
Python
2026-05-04T02:29:53.987035
import cfn_flip import pytest @pytest.fixture def input_json_state_machine(): with open("examples/test_json_state_machine.json", "r") as f: return f.read() @pytest.fixture def output_yaml_state_machine(): with open("examples/test_yaml_state_machine.yaml", "r") as f: return f.read() def tes...
awslabs/aws-cfn-template-flip
https://github.com/awslabs/aws-cfn-template-flip
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
tests/test_tools.py
null
null
null
null
null
null
Python
2026-05-04T02:29:54.012713
""" Copyright 2016-2017 Amazon.com, Inc. or its affiliates. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with the License. A copy of the License is located at http://aws.amazon.com/apache2.0/ or in the "license" file accompany...
awslabs/aws-cfn-template-flip
https://github.com/awslabs/aws-cfn-template-flip
null
null
null
null
999
null
null
apache-2.0
null
null
null
null
null
null
null
tests/test_yaml_patching.py
null
null
null
null
null
null
Python
2026-05-04T02:29:54.087266
""" Copyright 2016-2017 Amazon.com, Inc. or its affiliates. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with the License. A copy of the License is located at http://aws.amazon.com/apache2.0/ or in the "license" file accompany...
kuleshov-group/bd3lms
https://github.com/kuleshov-group/bd3lms
null
null
null
null
998
null
null
apache-2.0
null
null
null
null
null
null
null
models/hf/__init__.py
null
null
null
null
null
null
Python
2026-05-04T02:29:56.513598
"""Hugging Face config and model. """ from .configuration_bd3lm import BD3LMConfig from .modeling_bd3lm import BD3LM
kuleshov-group/bd3lms
https://github.com/kuleshov-group/bd3lms
null
null
null
null
998
null
null
apache-2.0
null
null
null
null
null
null
null
models/ema.py
null
null
null
null
null
null
Python
2026-05-04T02:29:56.528522
import torch class ExponentialMovingAverage: """ Maintains (exponential) moving average of a set of parameters. """ def __init__(self, parameters, decay, use_num_updates=True): """ Args: parameters: Iterable of `torch.nn.Parameter`; usually the result of `model.parameters()`. ...
kuleshov-group/bd3lms
https://github.com/kuleshov-group/bd3lms
null
null
null
null
998
null
null
apache-2.0
null
null
null
null
null
null
null
diffusion.py
null
null
null
null
null
null
Python
2026-05-04T02:29:56.529707
import itertools from dataclasses import dataclass import hydra.utils import lightning as L import numpy as np import torch import torch.nn.functional as F import transformers from tqdm import tqdm from collections import OrderedDict import dataloader import metrics import models import noise_schedule import utils im...
kuleshov-group/bd3lms
https://github.com/kuleshov-group/bd3lms
null
null
null
null
998
null
null
apache-2.0
null
null
null
null
null
null
null
models/hf/configuration_bd3lm.py
null
null
null
null
null
null
Python
2026-05-04T02:29:56.536547
"""BD3LM config for Hugging Face. """ import transformers class BD3LMConfig(transformers.PretrainedConfig): """Hugging Face configuration class for BD3LM.""" model_type = "bd3lm" def __init__( self, block_size: int = 1, vocab_size: int = 50258, model_length: int = 1024, cross_attn: bool =...
kuleshov-group/bd3lms
https://github.com/kuleshov-group/bd3lms
null
null
null
null
998
null
null
apache-2.0
null
null
null
null
null
null
null
models/autoregressive.py
null
null
null
null
null
null
Python
2026-05-04T02:29:56.541593
import math import typing import flash_attn import flash_attn.layers.rotary import huggingface_hub import omegaconf import torch import torch.nn as nn import torch.nn.functional as F from einops import rearrange # Flags required to enable jit fusion kernels torch._C._jit_set_profiling_mode(False) torch._C._jit_set_pr...
kuleshov-group/bd3lms
https://github.com/kuleshov-group/bd3lms
null
null
null
null
998
null
null
apache-2.0
null
null
null
null
null
null
null
dataloader.py
null
null
null
null
null
null
Python
2026-05-04T02:29:56.573276
import functools import itertools import json import math import os import re import shutil import typing import urllib import zipfile from typing import Optional import datasets import fsspec import requests import tokenizers import torch import transformers import utils LOGGER = utils.get_logger(__name__) def wt...
kuleshov-group/bd3lms
https://github.com/kuleshov-group/bd3lms
null
null
null
null
998
null
null
apache-2.0
null
null
null
null
null
null
null
metrics.py
null
null
null
null
null
null
Python
2026-05-04T02:29:56.624940
import torch from torch import Tensor import torchmetrics import typing from typing import Union import transformers import os import torch.nn.functional as F from tqdm import tqdm import math LOG2 = torch.log(torch.tensor(2.0)) class NLL(torchmetrics.aggregation.MeanMetric): pass class BPD(NLL): def compute(sel...
kuleshov-group/bd3lms
https://github.com/kuleshov-group/bd3lms
null
null
null
null
998
null
null
apache-2.0
null
null
null
null
null
null
null
main.py
null
null
null
null
null
null
Python
2026-05-04T02:29:56.648818
import os import fsspec import hydra import lightning as L import omegaconf import rich.syntax import rich.tree import torch import transformers import dataloader import diffusion import utils omegaconf.OmegaConf.register_new_resolver( 'cwd', os.getcwd) omegaconf.OmegaConf.register_new_resolver( 'device_count', t...
kuleshov-group/bd3lms
https://github.com/kuleshov-group/bd3lms
null
null
null
null
998
null
null
apache-2.0
null
null
null
null
null
null
null
models/dit.py
null
null
null
null
null
null
Python
2026-05-04T02:29:56.674487
import math import typing import einops from einops import rearrange from functools import partial try: import flash_attn import flash_attn.layers.rotary except: pass import huggingface_hub import omegaconf import torch import torch.nn as nn import torch.nn.functional as F try: from torch.nn.attention.flex_at...
kuleshov-group/bd3lms
https://github.com/kuleshov-group/bd3lms
null
null
null
null
998
null
null
apache-2.0
null
null
null
null
null
null
null
models/hf/modeling_bd3lm.py
null
null
null
null
null
null
Python
2026-05-04T02:29:57.299874
"""BD3LM model for Hugging Face. """ import math import typing import einops from functools import partial import torch import torch.nn as nn import torch.nn.functional as F import transformers from transformers import modeling_outputs try: from torch.nn.attention.flex_attention import flex_attention, create_block_...
kuleshov-group/bd3lms
https://github.com/kuleshov-group/bd3lms
null
null
null
null
998
null
null
apache-2.0
null
null
null
null
null
null
null
ssd-lm/generate_text.py
null
null
null
null
null
null
Python
2026-05-04T02:29:57.497904
import argparse import json import logging import math import os import time import accelerate import datasets import torch from accelerate import Accelerator from huggingface_hub.file_download import hf_hub_download from transformers import AutoConfig, AutoTokenizer, AutoModelForMaskedLM from tqdm.auto import tqdm ...
kuleshov-group/bd3lms
https://github.com/kuleshov-group/bd3lms
null
null
null
null
998
null
null
apache-2.0
null
null
null
null
null
null
null
push_to_hf.py
null
null
null
null
null
null
Python
2026-05-04T02:29:57.595706
import torch import transformers from models.hf import BD3LMConfig from models.hf import BD3LM BLOCK_SIZE=16 BD3LMConfig.register_for_auto_class() BD3LM.register_for_auto_class('AutoModelForMaskedLM') device = 'cuda' tokenizer = transformers.AutoTokenizer.from_pretrained('gpt2') name_or_path = f'kuleshov-group/bd3lm-...
kuleshov-group/bd3lms
https://github.com/kuleshov-group/bd3lms
null
null
null
null
998
null
null
apache-2.0
null
null
null
null
null
null
null
ssd-lm/evaluation/evaluate.py
null
null
null
null
null
null
Python
2026-05-04T02:29:57.606465
import pandas as pd from pathlib import Path import os import numpy as np import click import math import torch import torch.nn as nn import argparse import json import os import operator import logging import random from functools import partial from collections import Counter from scipy import stats from multiproc...
kuleshov-group/bd3lms
https://github.com/kuleshov-group/bd3lms
null
null
null
null
998
null
null
apache-2.0
null
null
null
null
null
null
null
noise_schedule.py
null
null
null
null
null
null
Python
2026-05-04T02:29:57.609606
import abc import torch import torch.nn as nn def get_noise(config, noise_type=None): if noise_type is None: noise_type = config.noise.type if noise_type == 'loglinear': return LogLinearNoise() elif noise_type == 'square': return ExpNoise(2) elif noise_type == 'square_root': return ExpNoise(0....
kuleshov-group/bd3lms
https://github.com/kuleshov-group/bd3lms
null
null
null
null
998
null
null
apache-2.0
null
null
null
null
null
null
null
scripts/log_sample_stats.py
null
null
null
null
null
null
Python
2026-05-04T02:29:57.775430
import csv import os import numpy as np dir_name = 'sample_logs' # report averages for fname in os.listdir(dir_name): with open(f'{dir_name}/{fname}', 'r') as f: fieldnames = ['gen_ppl', 'nfes', 'entropy', 'gen_lengths', 'samples', 'seed'] reader = csv.DictReader(f, fieldnames=fieldnames) rows = list(re...
kuleshov-group/bd3lms
https://github.com/kuleshov-group/bd3lms
null
null
null
null
998
null
null
apache-2.0
null
null
null
null
null
null
null
ssd-lm/evaluation/generate.py
null
null
null
null
null
null
Python
2026-05-04T02:29:57.805405
import pandas as pd from pathlib import Path import os import numpy as np import click import math import torch import torch.nn as nn import argparse import json import os import operator import logging import random import time from functools import partial from collections import Counter from scipy import stats fr...
kuleshov-group/bd3lms
https://github.com/kuleshov-group/bd3lms
null
null
null
null
998
null
null
apache-2.0
null
null
null
null
null
null
null
ssd-lm/ssd_model_decode.py
null
null
null
null
null
null
Python
2026-05-04T02:29:57.916976
#!/usr/bin/env python # coding=utf-8 # Copyright 2021 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LI...
kuleshov-group/bd3lms
https://github.com/kuleshov-group/bd3lms
null
null
null
null
998
null
null
apache-2.0
null
null
null
null
null
null
null
ssd-lm/report_genppl.py
null
null
null
null
null
null
Python
2026-05-04T02:29:58.013640
import json import transformers import sys import glob import os sys.path.append('../') import torch from tqdm import tqdm import metrics from omegaconf import OmegaConf config_dict = { 'block_size': 25, 'algo': 'ssd-lm', 'training': { 'importance_sampling': False, 'sampling_eps'...
kuleshov-group/bd3lms
https://github.com/kuleshov-group/bd3lms
null
null
null
null
998
null
null
apache-2.0
null
null
null
null
null
null
null
ssd-lm/ssd_model_train.py
null
null
null
null
null
null
Python
2026-05-04T02:29:58.090780
#!/usr/bin/env python # coding=utf-8 # Copyright 2021 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LI...
kuleshov-group/bd3lms
https://github.com/kuleshov-group/bd3lms
null
null
null
null
998
null
null
apache-2.0
null
null
null
null
null
null
null
ssd-lm/ssd_model_decode_fileio.py
null
null
null
null
null
null
Python
2026-05-04T02:29:58.099932
#!/usr/bin/env python # coding=utf-8 # Copyright 2021 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LI...
kuleshov-group/bd3lms
https://github.com/kuleshov-group/bd3lms
null
null
null
null
998
null
null
apache-2.0
null
null
null
null
null
null
null
ssd-lm/ssd_process_data.py
null
null
null
null
null
null
Python
2026-05-04T02:29:58.197337
#!/usr/bin/env python # coding=utf-8 # Copyright 2021 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LI...
kuleshov-group/bd3lms
https://github.com/kuleshov-group/bd3lms
null
null
null
null
998
null
null
apache-2.0
null
null
null
null
null
null
null
utils.py
null
null
null
null
null
null
Python
2026-05-04T02:29:58.202755
"""Console logger utilities. Copied from https://github.com/HazyResearch/transformers/blob/master/src/utils/utils.py Copied from https://docs.python.org/3/howto/logging-cookbook.html#using-a-context-manager-for-selective-logging """ import csv import functools import logging import math import fsspec import lightnin...