text stringlengths 5 22M | id stringlengths 12 177 | metadata dict | __index_level_0__ int64 0 1.37k |
|---|---|---|---|
const axios = require('axios')
const fs = require('fs')
const pjson = require('../package.json')
const { convertData, convertNum } = require('../src/float-utils-node.js')
const CollaborativeTrainer64 = artifacts.require("./CollaborativeTrainer64")
const DataHandler64 = artifacts.require("./data/DataHandler64")
const ... | 0xDeCA10B/demo/client/migrations/2_deploy_sentiment_classifier.js/0 | {
"file_path": "0xDeCA10B/demo/client/migrations/2_deploy_sentiment_classifier.js",
"repo_id": "0xDeCA10B",
"token_count": 1284
} | 0 |
import Button from '@material-ui/core/Button'
import CircularProgress from '@material-ui/core/CircularProgress'
import Container from '@material-ui/core/Container'
import IconButton from '@material-ui/core/IconButton'
import Link from '@material-ui/core/Link'
import List from '@material-ui/core/List'
import ListItem fr... | 0xDeCA10B/demo/client/src/containers/modelList.js/0 | {
"file_path": "0xDeCA10B/demo/client/src/containers/modelList.js",
"repo_id": "0xDeCA10B",
"token_count": 3691
} | 1 |
/**
* Possible types of encoders.
* The string values can be stored in smart contracts on public blockchains so do not make changes to the values.
* Changing the casing of a value should be fine.
*/
export enum Encoder {
// Simple encoders:
None = "none",
Mult1E9Round = "Multiply by 1E9, then round",
// Hash e... | 0xDeCA10B/demo/client/src/encoding/encoder.ts/0 | {
"file_path": "0xDeCA10B/demo/client/src/encoding/encoder.ts",
"repo_id": "0xDeCA10B",
"token_count": 213
} | 2 |
const fs = require('fs')
const path = require('path')
const mobilenet = require('@tensorflow-models/mobilenet')
const tf = require('@tensorflow/tfjs-node')
const { createCanvas, loadImage } = require('canvas')
const { normalize1d } = require('../tensor-utils-node')
const dataPath = path.join(__dirname, './seefood')
... | 0xDeCA10B/demo/client/src/ml-models/hot_dog-not/train-classifier.js/0 | {
"file_path": "0xDeCA10B/demo/client/src/ml-models/hot_dog-not/train-classifier.js",
"repo_id": "0xDeCA10B",
"token_count": 5504
} | 3 |
import { DataStore, DataStoreHealthStatus, ModelInformation, ModelsResponse, OriginalData, RemoveResponse } from './data-store'
export class LocalDataStore implements DataStore {
errorOpening?: boolean
db?: IDBDatabase
private readonly dataStoreName = 'data'
private readonly modelStoreName = 'model'
constructo... | 0xDeCA10B/demo/client/src/storage/local-data-store.ts/0 | {
"file_path": "0xDeCA10B/demo/client/src/storage/local-data-store.ts",
"repo_id": "0xDeCA10B",
"token_count": 1893
} | 4 |
const Environment = require('jest-environment-jsdom')
/**
* A custom environment to set the TextEncoder that is required by TensorFlow.js.
*/
module.exports = class CustomTestEnvironment extends Environment {
// Following https://stackoverflow.com/a/57713960/1226799
async setup() {
await super.setup()
if (type... | 0xDeCA10B/demo/client/test/custom-test-env.js/0 | {
"file_path": "0xDeCA10B/demo/client/test/custom-test-env.js",
"repo_id": "0xDeCA10B",
"token_count": 356
} | 5 |
import random
import unittest
import numpy as np
from injector import Injector
from decai.simulation.contract.balances import Balances
from decai.simulation.contract.classification.classifier import Classifier
from decai.simulation.contract.classification.perceptron import PerceptronModule
from decai.simulation.contr... | 0xDeCA10B/simulation/decai/simulation/contract/classification/tests/test_perceptron.py/0 | {
"file_path": "0xDeCA10B/simulation/decai/simulation/contract/classification/tests/test_perceptron.py",
"repo_id": "0xDeCA10B",
"token_count": 3780
} | 6 |
import unittest
from typing import cast
from injector import Injector
from decai.simulation.data.data_loader import DataLoader
from decai.simulation.data.ttt_data_loader import TicTacToeDataLoader, TicTacToeDataModule
from decai.simulation.logging_module import LoggingModule
class TestTicTacToeDataLoader(unittest.T... | 0xDeCA10B/simulation/decai/simulation/data/tests/test_ttt_data_loader.py/0 | {
"file_path": "0xDeCA10B/simulation/decai/simulation/data/tests/test_ttt_data_loader.py",
"repo_id": "0xDeCA10B",
"token_count": 633
} | 7 |
# MIT License
# Copyright (c) Microsoft Corporation.
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, mer... | AI-System/Labs/AdvancedLabs/Lab8/nas/ops.py/0 | {
"file_path": "AI-System/Labs/AdvancedLabs/Lab8/nas/ops.py",
"repo_id": "AI-System",
"token_count": 2296
} | 8 |
<!--Copyright © Microsoft Corporation. All rights reserved.
适用于[License](https://github.com/microsoft/AI-System/blob/main/LICENSE)版权许可-->
# 12.3 人工智能服务安全与隐私
- [12.3 人工智能服务安全与隐私](#122-人工智能训练安全与隐私)
- [12.3.1 服务时安全](#1221-服务时安全)
- [12.3.2 服务时的用户隐私](#1222-服务时的用户隐私)
- [12.3.3 服务时的模型隐私](#1223-服务时的模型隐私)
- [小结与讨论](... | AI-System/Textbook/第12章-人工智能安全与隐私/12.3-人工智能服务安全与隐私.md/0 | {
"file_path": "AI-System/Textbook/第12章-人工智能安全与隐私/12.3-人工智能服务安全与隐私.md",
"repo_id": "AI-System",
"token_count": 11352
} | 9 |
<!--Copyright © Microsoft Corporation. All rights reserved.
适用于[License](https://github.com/microsoft/AI-System/blob/main/LICENSE)版权许可-->
## 2.3 解决回归问题
本小节主要围绕解决回归问题中的各个环节和知识点展开，包含提出问题，万能近似定力，定义神经网络结构，前向计算和反向传播等内容。
- [2.3 解决回归问题](#23-解决回归问题)
- [2.3.1 提出问题](#231-提出问题)
- [2.3.2 万能近似定理](#232-万能近似定理)
- [2.3.3 ... | AI-System/Textbook/第2章-神经网络基础/2.3-解决回归问题.md/0 | {
"file_path": "AI-System/Textbook/第2章-神经网络基础/2.3-解决回归问题.md",
"repo_id": "AI-System",
"token_count": 8848
} | 10 |
<!--Copyright © Microsoft Corporation. All rights reserved.
适用于[License](https://github.com/microsoft/AI-System/blob/main/LICENSE)版权许可-->
# 5.3 内存优化
- [5.3 内存优化](#53-内存优化)
- [5.3.1 基于拓扑序的最小内存分配](#531-基于拓扑序的最小内存分配)
- [5.3.2 张量换入换出](#532-张量换入换出)
- [5.3.3 张量重计算](#533-张量重计算)
- [小结与讨论](#小结与讨论)
- [参考文献](#参考文献)
... | AI-System/Textbook/第5章-深度学习框架的编译与优化/5.3-内存优化.md/0 | {
"file_path": "AI-System/Textbook/第5章-深度学习框架的编译与优化/5.3-内存优化.md",
"repo_id": "AI-System",
"token_count": 5392
} | 11 |
<!--Copyright © Microsoft Corporation. All rights reserved.
适用于[License](https://github.com/microsoft/AI-System/blob/main/LICENSE)版权许可-->
# 6.4 分布式训练系统简介
- [6.4 分布式训练系统简介](#64-分布式训练系统简介)
- [6.4.1 TensorFlow 中的分布式支持](#641-tensorflow-中的分布式支持)
- [6.4.2 PyTorch 中的分布式支持](#642-pytorch-中的分布式支持)
- [6.4.3 通用的数据并行系统Ho... | AI-System/Textbook/第6章-分布式训练算法与系统/6.4-分布式训练系统简介.md/0 | {
"file_path": "AI-System/Textbook/第6章-分布式训练算法与系统/6.4-分布式训练系统简介.md",
"repo_id": "AI-System",
"token_count": 12272
} | 12 |
#!/usr/bin/python3
import argparse
from azure.keyvault import KeyVaultClient
from azure.common.client_factory import get_client_from_cli_profile
from dotenv import load_dotenv
import os
def set_secret(kv_endpoint, secret_name, secret_value):
client = get_client_from_cli_profile(KeyVaultClient)
client.set_sec... | AI/.ci/scripts/set_secret.py/0 | {
"file_path": "AI/.ci/scripts/set_secret.py",
"repo_id": "AI",
"token_count": 408
} | 13 |
parameters:
notebook: # defaults for any parameters that aren't specified
location: "."
azureSubscription: 'x'
azure_subscription: 'x'
timeoutInMinutes: 90
steps:
- task: AzureCLI@1
displayName: ${{parameters.notebook}}
inputs:
azureSubscription: ${{parameters.azureSubscription}}
scriptLocation:... | AI/.ci/steps/azure_r.yml/0 | {
"file_path": "AI/.ci/steps/azure_r.yml",
"repo_id": "AI",
"token_count": 212
} | 14 |
parameters:
deployment_name: ''
template: ''
azureSubscription: ''
azure_subscription: ''
azureresourcegroup: ''
workspacename: ''
azureregion: ''
aksimagename: ''
environment: 'tridant-ai'
doCleanup: True
alias: '-'
project: '-'
expires : "2019-08-01"
agent: 'AI-GPU'
conda: ''
python_pa... | AI/.ci/steps/deploy_rts.yml/0 | {
"file_path": "AI/.ci/steps/deploy_rts.yml",
"repo_id": "AI",
"token_count": 1402
} | 15 |
variables:
TridentWorkloadTypeShort: dsdevito
DeployLocation: eastus
ProjectLocation: "contrib/examples/imaging/azureml_devito/notebooks/"
PythonPath: "environment/anaconda/local/"
Template: DevitoDeployAMLJob.yml
| AI/.ci/vars/deep_seismic_devito.yml/0 | {
"file_path": "AI/.ci/vars/deep_seismic_devito.yml",
"repo_id": "AI",
"token_count": 75
} | 16 |
# Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
Lee Xiong*, Chenyan Xiong*, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul Bennett, Junaid Ahmed, Arnold Overwijk
This repo provides the code for reproducing the experiments in [Approximate Nearest Neighbor Negative Contrastive Learning for... | ANCE/README.md/0 | {
"file_path": "ANCE/README.md",
"repo_id": "ANCE",
"token_count": 4664
} | 17 |
import sys
sys.path += ["../"]
import pandas as pd
from transformers import glue_compute_metrics as compute_metrics, glue_output_modes as output_modes, glue_processors as processors
from transformers import (
AdamW,
RobertaConfig,
RobertaForSequenceClassification,
RobertaTokenizer,
get_linear_schedu... | ANCE/drivers/run_warmup.py/0 | {
"file_path": "ANCE/drivers/run_warmup.py",
"repo_id": "ANCE",
"token_count": 11644
} | 18 |
import sys
sys.path += ["../"]
from utils.msmarco_eval import quality_checks_qids, compute_metrics, load_reference
import torch.distributed as dist
import gzip
import faiss
import numpy as np
from data.process_fn import dual_process_fn
from tqdm import tqdm
import torch
import os
from utils.util import concat_key, is_f... | ANCE/utils/eval_mrr.py/0 | {
"file_path": "ANCE/utils/eval_mrr.py",
"repo_id": "ANCE",
"token_count": 3642
} | 19 |
# Self-Training with Weak Supervision
This repo holds the code for our weak supervision framework, ASTRA, described in our NAACL 2021 paper: "[Self-Training with Weak Supervision](https://www.microsoft.com/en-us/research/publication/leaving-no-valuable-knowledge-behind-weak-supervision-with-self-training-and-domain-sp... | ASTRA/README.md/0 | {
"file_path": "ASTRA/README.md",
"repo_id": "ASTRA",
"token_count": 1498
} | 20 |
from .LogReg import LogRegTrainer
from .BERT import BertTrainer
from .default_model import DefaultModelTrainer | ASTRA/astra/model/__init__.py/0 | {
"file_path": "ASTRA/astra/model/__init__.py",
"repo_id": "ASTRA",
"token_count": 29
} | 21 |
. ./venv/bin/activate
sudo apt install default-jre -y
seed=110
n_experts=8
vv=lora_adamix
while [[ $# -gt 0 ]]
do
key="$1"
case $key in
--seed)
seed=$2
shift
shift
;;
--n_experts)
n_experts=$2
shift
shift
;;
--vv)
vv=$2
shift
shift
;;
esac
done
python -m to... | AdaMix/NLG/run_eval_e2e.sh/0 | {
"file_path": "AdaMix/NLG/run_eval_e2e.sh",
"repo_id": "AdaMix",
"token_count": 605
} | 22 |
# ------------------------------------------------------------------------------------------
# Copyright (c). All rights reserved.
# Licensed under the MIT License (MIT). See LICENSE in the repo root for license information.
# -----------------------------------------------------------------------------------------... | AdaMix/NLG/src/format_converting_dart.py/0 | {
"file_path": "AdaMix/NLG/src/format_converting_dart.py",
"repo_id": "AdaMix",
"token_count": 597
} | 23 |
<!---
Copyright 2020 The HuggingFace 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/LICENSE-2.0
Unless required by applicable law or ... | AdaMix/docs/README.md/0 | {
"file_path": "AdaMix/docs/README.md",
"repo_id": "AdaMix",
"token_count": 3321
} | 24 |
End of preview. Expand in Data Studio
README.md exists but content is empty.
- Downloads last month
- 7