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sign-direction-remove
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skip-next
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source-branch
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spa
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star-box
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star-off-outline
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<?xml version='1.0' encoding='UTF-8'?>
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sticker-plus-outline
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<?xml version='1.0' encoding='UTF-8'?>
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store-24-hour
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<?xml version='1.0' encoding='UTF-8'?>
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store-off
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<?xml version='1.0' encoding='UTF-8'?>
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table-eye
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="table-picnic" format="2">
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<note>
table-picnic
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="timeline-clock-outline" format="2">
<advance width="1200"/>
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<note>
timeline-clock-outline
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<?xml version='1.0' encoding='UTF-8'?>
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<note>
timer-alert-outline
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<?xml version='1.0' encoding='UTF-8'?>
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tooltip-check-outline
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<?xml version='1.0' encoding='UTF-8'?>
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<note>
transfer-up
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<?xml version='1.0' encoding='UTF-8'?>
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trash-can-outline
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<?xml version='1.0' encoding='UTF-8'?>
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trending-up
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<note>
umbrella-beach
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<?xml version='1.0' encoding='UTF-8'?>
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vector-polyline-plus
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view-module-outline
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<?xml version='1.0' encoding='UTF-8'?>
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<note>
volume-plus
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window-shutter-alert
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<note>
HEAVY CIRCLE
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arrow-down
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book
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<point x="65... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/book.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/book.glif",
"repo_id": "cascadia-code",
"token_count": 1351
} | 699 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="chevron-left" format="2">
<advance width="1200"/>
<unicode hex="EAB5"/>
<note>
chevron-left
</note>
<outline>
<contour>
<point x="907" y="1216" type="line"/>
<point x="833" y="1290" type="line"/>
<point x="293" y="744" type="line"/>
... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/chevron-left.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/chevron-left.glif",
"repo_id": "cascadia-code",
"token_count": 243
} | 700 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="close" format="2">
<advance width="1200"/>
<unicode hex="EA76"/>
<note>
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</note>
<outline>
<contour>
<point x="119" y="130" type="line"/>
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<point x="1081" y="130" type="line"/>
<point x="1180... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/close.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/close.glif",
"repo_id": "cascadia-code",
"token_count": 339
} | 701 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="dash" format="2">
<advance width="1200"/>
<unicode hex="EACC"/>
<note>
dash
</note>
<outline>
<contour>
<point x="20" y="612" type="line"/>
<point x="1180" y="612" type="line"/>
<point x="1180" y="808" type="line"/>
<point x="20" y=... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/dash.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/dash.glif",
"repo_id": "cascadia-code",
"token_count": 173
} | 702 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="debug-continue-small" format="2">
<advance width="1200"/>
<unicode hex="EBE0"/>
<note>
debug-continue-small
</note>
<outline>
<contour>
<point x="124" y="94" type="line"/>
<point x="124" y="1326" type="line"/>
<point x="20" y="1326" type=... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/debug-continue-small.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/debug-continue-small.glif",
"repo_id": "cascadia-code",
"token_count": 400
} | 703 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="debug-step-out" format="2">
<advance width="1200"/>
<unicode hex="EAD5"/>
<note>
debug-step-out
</note>
<outline>
<contour>
<point x="654" y="1420" type="line"/>
<point x="600" y="1420" type="line"/>
<point x="546" y="1420" type="line"/>
... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/debug-step-out.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/debug-step-out.glif",
"repo_id": "cascadia-code",
"token_count": 497
} | 704 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="editor-layout" format="2">
<advance width="1200"/>
<unicode hex="EAE3"/>
<note>
editor-layout
</note>
<outline>
<contour>
<point x="1180" y="170" type="line"/>
<point x="1180" y="834" type="line"/>
<point x="1140" y="878" type="line"/>
... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/editor-layout.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/editor-layout.glif",
"repo_id": "cascadia-code",
"token_count": 641
} | 705 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="graph-left" format="2">
<advance width="1200"/>
<unicode hex="EBAD"/>
<note>
graph-left
</note>
<outline>
<contour>
<point x="1180" y="1056" type="line"/>
<point x="1180" y="1139" type="line"/>
<point x="141" y="1139" type="line"/>
... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/graph-left.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/graph-left.glif",
"repo_id": "cascadia-code",
"token_count": 1151
} | 706 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="list-filter" format="2">
<advance width="1200"/>
<unicode hex="EB83"/>
<note>
list-filter
</note>
<outline>
<contour>
<point x="793" y="274" type="line"/>
<point x="793" y="372" type="line"/>
<point x="407" y="372" type="line"/>
<po... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/list-filter.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/list-filter.glif",
"repo_id": "cascadia-code",
"token_count": 375
} | 707 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="server" format="2">
<advance width="1200"/>
<unicode hex="EB50"/>
<note>
server
</note>
<outline>
<contour>
<point x="1128" y="999" type="line"/>
<point x="1180" y="1050" type="line"/>
<point x="1180" y="1339" type="line"/>
<point x... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/server.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/server.glif",
"repo_id": "cascadia-code",
"token_count": 1901
} | 708 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="symbol-array" format="2">
<advance width="1200"/>
<unicode hex="EA8A"/>
<note>
symbol-array
</note>
<outline>
<contour>
<point x="268" y="1208" type="line"/>
<point x="60" y="1208" type="line"/>
<point x="20" y="1164" type="line"/>
... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/symbol-array.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/symbol-array.glif",
"repo_id": "cascadia-code",
"token_count": 532
} | 709 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="symbol-numeric" format="2">
<advance width="1200"/>
<unicode hex="EA90"/>
<note>
symbol-numeric
</note>
<outline>
<contour>
<point x="768" y="1290" type="line"/>
<point x="768" y="958" type="line"/>
<point x="436" y="958" type="line"/>
... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/symbol-numeric.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/symbol-numeric.glif",
"repo_id": "cascadia-code",
"token_count": 781
} | 710 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="terminal-cmd" format="2">
<advance width="1200"/>
<unicode hex="EBC4"/>
<note>
terminal-cmd
</note>
<outline>
<contour>
<point x="759" y="783" type="line"/>
<point x="902" y="420" type="line"/>
<point x="956" y="420" type="line"/>
<... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/terminal-cmd.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/terminal-cmd.glif",
"repo_id": "cascadia-code",
"token_count": 1282
} | 711 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="triangle-up" format="2">
<advance width="1200"/>
<unicode hex="EB71"/>
<note>
triangle-up
</note>
<outline>
<contour>
<point x="644" y="999" type="line"/>
<point x="561" y="999" type="line"/>
<point x="20" y="473" type="line"/>
<poi... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/triangle-up.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/triangle-up.glif",
"repo_id": "cascadia-code",
"token_count": 219
} | 712 |
<?xml version='1.0' encoding='UTF-8'?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
<key>com.schriftgestaltung.disablesAutomaticAlignment</key>
<true/>
<key>com.schriftgestaltung.fontMasterID</key>
<string>m01</stri... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/lib.plist/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/lib.plist",
"repo_id": "cascadia-code",
"token_count": 18013
} | 713 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="uniE62C" format="2">
<advance width="1200"/>
<unicode hex="E72C"/>
<note>
uniE62C
</note>
<outline>
<contour>
<point x="20" y="904" type="line"/>
<point x="20" y="904" type="line"/>
<point x="20" y="806" type="line"/>
<point x="212"... | cascadia-code/sources/nerdfonts/full/processed/devicons.ufo/glyphs/uniE_62C_.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/devicons.ufo/glyphs/uniE_62C_.glif",
"repo_id": "cascadia-code",
"token_count": 580
} | 714 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="Crystal Linux" format="2">
<advance width="1200"/>
<unicode hex="F348"/>
<note>
Crystal Linux
</note>
<outline>
<contour>
<point x="1053" y="710" type="line"/>
<point x="748" y="1015" type="line"/>
<point x="649" y="918" type="line"/>
... | cascadia-code/sources/nerdfonts/full/processed/font-logos.ufo/glyphs/C_rystal L_inux.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/font-logos.ufo/glyphs/C_rystal L_inux.glif",
"repo_id": "cascadia-code",
"token_count": 377
} | 715 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="NixOS" format="2">
<advance width="1200"/>
<unicode hex="F313"/>
<note>
NixOS
</note>
<outline>
<contour>
<point x="310" y="585" type="line"/>
<point x="385" y="452" type="line"/>
<point x="278" y="264" type="line"/>
<point x="310" ... | cascadia-code/sources/nerdfonts/full/processed/font-logos.ufo/glyphs/N_ixO_S_.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/font-logos.ufo/glyphs/N_ixO_S_.glif",
"repo_id": "cascadia-code",
"token_count": 1490
} | 716 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="i_seti_r" format="2">
<advance width="1200"/>
<unicode hex="E68A"/>
<note>
i_seti_r
</note>
<outline>
<contour>
<point x="600" y="380" type="curve" smooth="yes"/>
<point x="600" y="380" type="line" smooth="yes"/>
<point x="920" y="380"/>
... | cascadia-code/sources/nerdfonts/full/processed/original-source.ufo/glyphs/i_seti_r.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/original-source.ufo/glyphs/i_seti_r.glif",
"repo_id": "cascadia-code",
"token_count": 1511
} | 717 |
<?xml version='1.0' encoding='UTF-8'?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
<key>uniF000</key>
<string>uniF_000.glif</string>
<key>uniF001</key>
<string>uniF_001.glif</string>
<key>uniF002</key>
<str... | cascadia-code/sources/nerdfonts/full/processed/weathericons-regular-webfont.ufo/glyphs/contents.plist/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/weathericons-regular-webfont.ufo/glyphs/contents.plist",
"repo_id": "cascadia-code",
"token_count": 7472
} | 718 |
"""This script is to generate synthetic dataset for SCOTCH experiments."""
import os
import sys
from argparse import Namespace
import pandas as pd
import torch
from scipy.io import loadmat
from scotch.dataset_generation.example_sdes.lorenz_sde import Lorenz96SDE
from scotch.dataset_generation.example_sdes.yeast_glycol... | causica/research_experiments/scotch/src/scotch/dataset_generation/generate_and_save_data.py/0 | {
"file_path": "causica/research_experiments/scotch/src/scotch/dataset_generation/generate_and_save_data.py",
"repo_id": "causica",
"token_count": 4308
} | 719 |
"""This implements the abstract template for stochastic differential equations"""
from abc import ABC, abstractmethod
import torch
class SDE(ABC):
"""Abstract base class for stochastic differential equations.
Any concrete class must implement the f and g methods, and noise_type and sde_type properties.
... | causica/research_experiments/scotch/src/scotch/sdes/sdes_core.py/0 | {
"file_path": "causica/research_experiments/scotch/src/scotch/sdes/sdes_core.py",
"repo_id": "causica",
"token_count": 472
} | 720 |
import dataclasses
import json
import os
from typing import Any, Callable, Iterable, Optional
import fsspec
import numpy as np
import torch
from tensordict import TensorDict
from causica.datasets.causica_dataset_format.load import (
CounterfactualWithEffects,
DataEnum,
InterventionWithEffects,
Variabl... | causica/src/causica/datasets/causica_dataset_format/save.py/0 | {
"file_path": "causica/src/causica/datasets/causica_dataset_format/save.py",
"repo_id": "causica",
"token_count": 5601
} | 721 |
from typing import Optional
import torch
import torch.distributions as td
import torch.nn.functional as F
from causica.distributions.adjacency.adjacency_distributions import AdjacencyDistribution
from causica.triangular_transformations import fill_triangular, num_lower_tri_elements_to_n, unfill_triangular
class Thr... | causica/src/causica/distributions/adjacency/three_way.py/0 | {
"file_path": "causica/src/causica/distributions/adjacency/three_way.py",
"repo_id": "causica",
"token_count": 1966
} | 722 |
"""
Wrapper around torch.distributions.transforms to allow for joint transforms on TensorDicts.
"""
import weakref
from typing import Any, Generic, Optional, TypeVar, Union
import torch
from torch import nn
from torch.distributions.transforms import Transform, _InverseTransform
T_co = TypeVar("T_co", covariant=True, ... | causica/src/causica/distributions/transforms/base.py/0 | {
"file_path": "causica/src/causica/distributions/transforms/base.py",
"repo_id": "causica",
"token_count": 1800
} | 723 |
from collections import defaultdict
import pandas as pd
import torch
from tensordict import TensorDict
from torch.utils.data import DataLoader
from causica.datasets.causica_dataset_format import Variable, tensordict_from_variables_metadata
from causica.datasets.normalization import fit_standardizer
from causica.datas... | causica/src/causica/lightning/data_modules/basic_data_module.py/0 | {
"file_path": "causica/src/causica/lightning/data_modules/basic_data_module.py",
"repo_id": "causica",
"token_count": 1125
} | 724 |
import abc
from typing import Iterable, Optional, Sequence
import torch
import torch.distributions as dist
from tensordict import TensorDict
class SEM(dist.Distribution, abc.ABC):
"""A structural equation model (SEM).
A SEM defines the causal relationships amongst a given set of nodes. This class provides m... | causica/src/causica/sem/structural_equation_model.py/0 | {
"file_path": "causica/src/causica/sem/structural_equation_model.py",
"repo_id": "causica",
"token_count": 3387
} | 725 |
import pytest
import torch
from causica.distributions.adjacency.constrained_adjacency_distributions import constrained_adjacency
from causica.distributions.adjacency.three_way import ThreeWayAdjacencyDistribution
@pytest.mark.parametrize("num_nodes", [3, 100, 500])
@pytest.mark.parametrize("force_edge_from_diagonal"... | causica/test/distributions/adjacency/test_constrained_adjacency_distributions.py/0 | {
"file_path": "causica/test/distributions/adjacency/test_constrained_adjacency_distributions.py",
"repo_id": "causica",
"token_count": 565
} | 726 |
import pytest
import torch
from tensordict import TensorDict
from torch.distributions import AffineTransform
from causica.distributions.transforms.joint import JointTransform
@pytest.fixture(name="affine_transform")
def fixture_affine_transform() -> JointTransform:
transformation_dict = {
"x": AffineTran... | causica/test/distributions/transforms/test_joint.py/0 | {
"file_path": "causica/test/distributions/transforms/test_joint.py",
"repo_id": "causica",
"token_count": 758
} | 727 |
import pytest
import torch
from causica.graph.evaluation_metrics import (
adjacency_f1,
adjacency_precision_recall,
orientation_f1,
orientation_precision_recall,
)
MATRICES = [
torch.tensor([[0, 1, 1], [0, 0, 0], [0, 0, 0]]),
torch.tensor([[0, 0, 0], [1, 0, 0], [1, 0, 0]]),
torch.tensor([[... | causica/test/metrics/test_graph_eval_metrics.py/0 | {
"file_path": "causica/test/metrics/test_graph_eval_metrics.py",
"repo_id": "causica",
"token_count": 1553
} | 728 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from typing import Union
import torch
import torch.nn as nn
from torch.nn import init
from ...signature import CliffordSignature
from ..functional.batchnorm import clifford_batch_norm, complex_batch_norm
class _ComplexBatchNorm(nn.Module):
... | cliffordlayers/cliffordlayers/nn/modules/batchnorm.py/0 | {
"file_path": "cliffordlayers/cliffordlayers/nn/modules/batchnorm.py",
"repo_id": "cliffordlayers",
"token_count": 4423
} | 729 |
---
title: CliffordLayers
template: home.html
---
<!-- Overridden -->
| cliffordlayers/docs/index.md/0 | {
"file_path": "cliffordlayers/docs/index.md",
"repo_id": "cliffordlayers",
"token_count": 23
} | 730 |
import torch
from cliffordlayers.cliffordalgebra import CliffordAlgebra
def test_geometric_product_vs_complex_multiplication():
algebra = CliffordAlgebra([-1])
x = torch.randn(4, 8, 2)
y = torch.randn(4, 8, 2)
x_complex = torch.complex(x[..., 0], x[..., 1])
y_complex = torch.complex(y[..., 0], y... | cliffordlayers/tests/test_algebra.py/0 | {
"file_path": "cliffordlayers/tests/test_algebra.py",
"repo_id": "cliffordlayers",
"token_count": 574
} | 731 |
wget https://raw.githubusercontent.com/rdkit/rdkit/master/Contrib/SA_Score/sascorer.py
wget https://raw.githubusercontent.com/rdkit/rdkit/master/Contrib/SA_Score/fpscores.pkl.gz | constrained-graph-variational-autoencoder/get_sascorer.sh/0 | {
"file_path": "constrained-graph-variational-autoencoder/get_sascorer.sh",
"repo_id": "constrained-graph-variational-autoencoder",
"token_count": 66
} | 732 |
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<meta name="theme-color" content="#000000">
<!--
manifest.json provides metadata used when your web app is added to the
homescreen on Androi... | 0xDeCA10B/demo/client/public/index.html/0 | {
"file_path": "0xDeCA10B/demo/client/public/index.html",
"repo_id": "0xDeCA10B",
"token_count": 582
} | 0 |
pragma solidity ^0.6;
pragma experimental ABIEncoderV2;
import "../../../lib/Math.sol";
import {Classifier64} from "./Classifier.sol";
/**
* A Multinomial Naive Bayes classifier.
* `update` and `predict` methods take `data` that holds the indices of the features that are present.
* Works like in https://scikit-le... | 0xDeCA10B/demo/client/src/contracts/classification/NaiveBayesClassifier.sol/0 | {
"file_path": "0xDeCA10B/demo/client/src/contracts/classification/NaiveBayesClassifier.sol",
"repo_id": "0xDeCA10B",
"token_count": 3357
} | 1 |
# Train the Classifier
From the `client` folder:
1. `git clone https://github.com/snipsco/nlu-benchmark ../../../nlu-benchmark`
2. Run `yarn train-vpa-classifier`
| 0xDeCA10B/demo/client/src/ml-models/vpa/README.md/0 | {
"file_path": "0xDeCA10B/demo/client/src/ml-models/vpa/README.md",
"repo_id": "0xDeCA10B",
"token_count": 60
} | 2 |
#!/bin/bash
# Enable job control with -m so that the blockchain can be killed.
set -emx
pushd ..
yarn blockchain & bc_pid=$!
sleep 1s
popd
cleanup() {
kill -9 -${bc_pid}
if [ "$1" == "exit" ]; then
exit 1
fi
}
# The `set -e` at the top doesn't seem to help with getting these exit on failure.
# D... | 0xDeCA10B/demo/client/test.sh/0 | {
"file_path": "0xDeCA10B/demo/client/test.sh",
"repo_id": "0xDeCA10B",
"token_count": 308
} | 3 |
{
"name": "decai-demo",
"version": "1.4.5",
"license": "MIT",
"private": true,
"scripts": {
"blockchain": "mkdir --parents blockchain_db && ganache-cli --db blockchain_db --networkId 5782 --chainId 0xDeCA10B --gasLimit 9000000 --gasPrice 1 --host 0.0.0.0 --port ${PORT:-7545} --mnemonic \"net pistol fun vi... | 0xDeCA10B/demo/package.json/0 | {
"file_path": "0xDeCA10B/demo/package.json",
"repo_id": "0xDeCA10B",
"token_count": 550
} | 4 |
from abc import ABC, abstractmethod
import math
from decai.simulation.contract.data.data_handler import StoredData
from decai.simulation.contract.objects import Address, SmartContract
class IncentiveMechanism(ABC, SmartContract):
"""
Defines incentives for others to contribute "good" quality data.
"""
... | 0xDeCA10B/simulation/decai/simulation/contract/incentive/incentive_mechanism.py/0 | {
"file_path": "0xDeCA10B/simulation/decai/simulation/contract/incentive/incentive_mechanism.py",
"repo_id": "0xDeCA10B",
"token_count": 1388
} | 5 |
import os
import sys
import math
from injector import inject, Injector
from decai.simulation.contract.classification.classifier import Classifier
from decai.simulation.contract.classification.decision_tree import DecisionTreeModule
from decai.simulation.contract.collab_trainer import DefaultCollaborativeTrainerModule... | 0xDeCA10B/simulation/decai/simulation/simulate_bhp_dt.py/0 | {
"file_path": "0xDeCA10B/simulation/decai/simulation/simulate_bhp_dt.py",
"repo_id": "0xDeCA10B",
"token_count": 1427
} | 6 |
pong-apex:
env: PongNoFrameskip-v4
run: APEX
config:
# Works for both torch and tf.
framework: tf
target_network_update_freq: 20000
num_workers: 16
num_envs_per_worker: 1
lr: .00005
train_batch_size: 64
gamma: 0.99 | AI-System/Labs/AdvancedLabs/Lab9/config/pong-apex-16.yaml/0 | {
"file_path": "AI-System/Labs/AdvancedLabs/Lab9/config/pong-apex-16.yaml",
"repo_id": "AI-System",
"token_count": 154
} | 7 |
## 运行你的第一个容器
当前章节假设你已经配置好Docker环境. 在本小节，你将在你的操作系统中运行一个 [Alpine Linux](http://www.alpinelinux.org/)容器(container)-一个轻量的Linux 发行版操作系统 ，并测试使用`docker run`命令。
在开始的时候,请在命令行执行以下命令，Pull Docker镜像(image):
```
$ docker pull alpine
```
> **注意:** 取决于你如何在你的系统中安装的Docker, 执行完上面的命令后，你可能看到`permission denied`错误 。尝试以下教程中的命令[verify your i... | AI-System/Labs/BasicLabs/Lab5/alpine.md/0 | {
"file_path": "AI-System/Labs/BasicLabs/Lab5/alpine.md",
"repo_id": "AI-System",
"token_count": 4218
} | 8 |
# 书写规范（Writing Conventions）
本文档给出了包含文档内的书写约定。
请作者与贡献者参考以下约定检查格式，内容一致性与正确性。
这个风格指南随着时间的推移而演变，因为额外的约定被识别出来，并且过去的约定因语言本身的变化而变得过时。规范大多数来自于常见错误的总结。
许多项目都有自己的风格指南。如果发生任何冲突，此类特定于项目的指南优先于该项目。
# 1 内容格式
参考章节-第7章。
## 1.1 小节包含内容
- n-前沿.md
- n.m-章节名.md
- ...
## 1.2 小节内容
1. 添加各个章节和小节序号。
2. 提那家章节目录，例如可以通过[Markdown All in One... | AI-System/Textbook/书写规范.md/0 | {
"file_path": "AI-System/Textbook/书写规范.md",
"repo_id": "AI-System",
"token_count": 3280
} | 9 |
<!--Copyright © Microsoft Corporation. All rights reserved.
适用于[License](https://github.com/microsoft/AI-System/blob/main/LICENSE)版权许可-->
# 1.2 算法，框架，体系结构与算力的进步
催生这轮人工智能热潮的原因有三个重要因素：大数据的积累、超大规模的计算能力支撑、机器学习尤其是深度学习算法取得了突破性进展，本章我们将围绕以上重要的三方面因素展开介绍。
本小节将围绕以下内容进行介绍：
- [1.2 算法，框架，体系结构与算力的进步](#12-算法框架体系结构与算力的进步)
- [1.2... | AI-System/Textbook/第1章-人工智能系统概述/1.2-算法，框架，体系结构与算力的进步.md/0 | {
"file_path": "AI-System/Textbook/第1章-人工智能系统概述/1.2-算法，框架，体系结构与算力的进步.md",
"repo_id": "AI-System",
"token_count": 16345
} | 10 |
<!--Copyright © Microsoft Corporation. All rights reserved.
适用于[License](https://github.com/microsoft/AI-System/blob/main/LICENSE)版权许可-->
## 2.8 循环神经网络
本小节主要围绕循环神经网络，循环神经网络的发展简史，循环神经网络的结构和典型用途，深度循环神经网络，双向循环神经网络，高级循环神经网络展开介绍。
- [2.8 循环神经网络](#28-循环神经网络)
- [2.8.1 循环神经网络的发展简史](#281-循环神经网络的发展简史)
- [2.8.2 循环神经网络的结构和... | AI-System/Textbook/第2章-神经网络基础/2.8-循环神经网络.md/0 | {
"file_path": "AI-System/Textbook/第2章-神经网络基础/2.8-循环神经网络.md",
"repo_id": "AI-System",
"token_count": 10169
} | 11 |
<!--Copyright © Microsoft Corporation. All rights reserved.
适用于[License](https://github.com/microsoft/AI-System/blob/main/LICENSE)版权许可-->
# 8.3 部署
<center> <img src="./img/3/8-3-13-modeldeploy.png" /></center>
<center>图 8-3-1. 推理系统与模型的部署 </center>
推理系统进行模型部署时，需要应对多样的框架，多样的部署硬件，以及持续集成和持续部署的模型上线发布等诸多的软件工程问题。如图 8-3-... | AI-System/Textbook/第8章-深度学习推理系统/8.3-部署.md/0 | {
"file_path": "AI-System/Textbook/第8章-深度学习推理系统/8.3-部署.md",
"repo_id": "AI-System",
"token_count": 19886
} | 12 |
# Pipeline for testing AKSDeploymentTutorialAML
trigger:
batch: true
branches:
include:
- master
paths:
include:
- architectures/Python-Keras-RealTimeServing/*
pr:
branches:
include:
- master
paths:
include:
- architectures/Python-Keras-RealTimeServing/*
schedules:
- cr... | AI/.ci/python-keras-realtimeserving.yml/0 | {
"file_path": "AI/.ci/python-keras-realtimeserving.yml",
"repo_id": "AI",
"token_count": 1048
} | 13 |
parameters:
azureSubscription: ''
azure_subscription: ''
location: submodules/DeployMLModelPipelines
azureresourcegroup: dcibhpdl
workspacename: dcibhpwsdl
azureregion: westus2
aksimagename: dcibhpaksdl
aks_name: dcibhpaksdl
aks_service_name: dcibhpaksdlapi
conda: batchscoringdl_aml
doCleanup: tru... | AI/.ci/steps/DevitoDeployAMLJob.yml/0 | {
"file_path": "AI/.ci/steps/DevitoDeployAMLJob.yml",
"repo_id": "AI",
"token_count": 878
} | 14 |
parameters:
conda_location: .
azureSubscription: #
conda: #
backward_compatability: false
backward_version: 1.0.2
flighting_release: false
flighting_preview: false
flighting_master: false
fresh_install: true
update_conda: false
update_conda_package: true
ubuntu18: true
off: false
steps:
- ... | AI/.ci/steps/config_conda.yml/0 | {
"file_path": "AI/.ci/steps/config_conda.yml",
"repo_id": "AI",
"token_count": 1402
} | 15 |
parameters:
notebook: 01_DataPrep.ipynb # defaults for any parameters that aren't specified
location: "{{cookiecutter.project_name}}"
steps:
- bash: |
source /usr/share/miniconda/etc/profile.d/conda.sh
conda activate MLAKSDeployAML
export PYTHONPATH=$(pwd)/{{cookiecutter.project_name}}:${PYTHONPATH... | AI/.ci/steps/papermill.yml/0 | {
"file_path": "AI/.ci/steps/papermill.yml",
"repo_id": "AI",
"token_count": 223
} | 16 |
variables:
TridentWorkloadTypeShort: aimlrts
DeployLocation: eastus
ProjectLocation: "{{cookiecutter.project_name}}"
PythonPath: "/{{cookiecutter.project_name}}"
Template: MLAKSDeployAMLJob.yml
| AI/.ci/vars/ml_realtime_scoring.yml/0 | {
"file_path": "AI/.ci/vars/ml_realtime_scoring.yml",
"repo_id": "AI",
"token_count": 68
} | 17 |
# # Passage ANCE(FirstP)
gpu_no=4
seq_length=512
model_type=rdot_nll
tokenizer_type="roberta-base"
base_data_dir="../data/raw_data/"
preprocessed_data_dir="${base_data_dir}ann_data_${tokenizer_type}_${seq_length}_dev/"
job_name="OSPass512"
pretrained_checkpoint_dir=""
# # Document ANCE(FirstP)
# gpu_no=4
# seq_lengt... | ANCE/commands/run_inference.sh/0 | {
"file_path": "ANCE/commands/run_inference.sh",
"repo_id": "ANCE",
"token_count": 599
} | 18 |
"""
Code for self-training with weak supervision.
Author: Giannis Karamanolakis (gkaraman@cs.columbia.edu)
"""
import numpy as np
from sklearn.metrics import classification_report, confusion_matrix, accuracy_score, f1_score, precision_recall_fscore_support
from collections import defaultdict
implemented_metrics = ['ac... | ASTRA/astra/Evaluator.py/0 | {
"file_path": "ASTRA/astra/Evaluator.py",
"repo_id": "ASTRA",
"token_count": 1481
} | 19 |
# download data
wget -O astra_data.zip https://www.dropbox.com/s/hx7hp5hza9ys675/astra_data.zip?dl=0
unzip astra_data.zip
rm astra_data.zip
| ASTRA/data/prepare_data.sh/0 | {
"file_path": "ASTRA/data/prepare_data.sh",
"repo_id": "ASTRA",
"token_count": 64
} | 20 |
<!---
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/ISSUES.md/0 | {
"file_path": "AdaMix/ISSUES.md",
"repo_id": "AdaMix",
"token_count": 4700
} | 21 |
#!/bin/bash
echo "downloading pretrained model checkpoints..."
mkdir pretrained_checkpoints
cd pretrained_checkpoints
wget https://s3.amazonaws.com/models.huggingface.co/bert/gpt2-pytorch_model.bin
wget https://s3.amazonaws.com/models.huggingface.co/bert/gpt2-medium-pytorch_model.bin
wget https://s3.amazonaws.com/mode... | AdaMix/NLG/download_pretrained_checkpoints.sh/0 | {
"file_path": "AdaMix/NLG/download_pretrained_checkpoints.sh",
"repo_id": "AdaMix",
"token_count": 151
} | 22 |
. ./venv/bin/activate
seed=110
python -m torch.distributed.launch --nproc_per_node=1 src/gpt2_ft.py \
--train_data ./data/dart/train.jsonl \
--valid_data ./data/dart/valid.jsonl \
--train_batch_size 8 \
--grad_acc 1 \
--valid_batch_size 4 \
--seq_len 512 \
--model_card gpt2.md \
--init_checkpoint ./pretrained_checkpo... | AdaMix/NLG/run_train_dart_lora_only.sh/0 | {
"file_path": "AdaMix/NLG/run_train_dart_lora_only.sh",
"repo_id": "AdaMix",
"token_count": 321
} | 23 |
# ------------------------------------------------------------------------------------------
# Copyright (c). All rights reserved.
# Licensed under the MIT License (MIT). See LICENSE in the repo root for license information.
# -----------------------------------------------------------------------------------------... | AdaMix/NLG/src/gpt2_encode.py/0 | {
"file_path": "AdaMix/NLG/src/gpt2_encode.py",
"repo_id": "AdaMix",
"token_count": 725
} | 24 |
.highlight .c1, .highlight .sd{
color: #999
}
.highlight .nn, .highlight .k, .highlight .s1, .highlight .nb, .highlight .bp, .highlight .kc {
color: #FB8D68;
}
.highlight .kn, .highlight .nv, .highlight .s2, .highlight .ow {
color: #6670FF;
}
.highlight .gp {
color: #FB8D68;
} | AdaMix/docs/source/_static/css/code-snippets.css/0 | {
"file_path": "AdaMix/docs/source/_static/css/code-snippets.css",
"repo_id": "AdaMix",
"token_count": 140
} | 25 |
..
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 ... | AdaMix/docs/source/model_doc/bart.rst/0 | {
"file_path": "AdaMix/docs/source/model_doc/bart.rst",
"repo_id": "AdaMix",
"token_count": 1713
} | 26 |
..
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 ... | AdaMix/docs/source/model_doc/electra.rst/0 | {
"file_path": "AdaMix/docs/source/model_doc/electra.rst",
"repo_id": "AdaMix",
"token_count": 1755
} | 27 |
..
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 ... | AdaMix/docs/source/model_doc/mobilebert.rst/0 | {
"file_path": "AdaMix/docs/source/model_doc/mobilebert.rst",
"repo_id": "AdaMix",
"token_count": 1717
} | 28 |
..
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 ... | AdaMix/docs/source/model_doc/xlm.rst/0 | {
"file_path": "AdaMix/docs/source/model_doc/xlm.rst",
"repo_id": "AdaMix",
"token_count": 1437
} | 29 |
..
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 ... | AdaMix/docs/source/testing.rst/0 | {
"file_path": "AdaMix/docs/source/testing.rst",
"repo_id": "AdaMix",
"token_count": 12771
} | 30 |
#!/usr/bin/env python
import argparse
import json
from typing import List
from ltp import LTP
from transformers import BertTokenizer
def _is_chinese_char(cp):
"""Checks whether CP is the codepoint of a CJK character."""
# This defines a "chinese character" as anything in the CJK Unicode block:
# https:... | AdaMix/examples/legacy/run_chinese_ref.py/0 | {
"file_path": "AdaMix/examples/legacy/run_chinese_ref.py",
"repo_id": "AdaMix",
"token_count": 2388
} | 31 |
# 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 applicabl... | AdaMix/examples/legacy/seq2seq/old_test_seq2seq_examples.py/0 | {
"file_path": "AdaMix/examples/legacy/seq2seq/old_test_seq2seq_examples.py",
"repo_id": "AdaMix",
"token_count": 2126
} | 32 |
{
"en-ru": {
"src": [
"Welsh AMs worried about 'looking like muppets'",
"There is consternation among some AMs at a suggestion their title should change to MWPs (Member of the Welsh Parliament).",
"It has arisen because of plans to change the name of the assembly to the Welsh Parliament.",
... | AdaMix/examples/legacy/seq2seq/test_data/fsmt/fsmt_val_data.json/0 | {
"file_path": "AdaMix/examples/legacy/seq2seq/test_data/fsmt/fsmt_val_data.json",
"repo_id": "AdaMix",
"token_count": 4034
} | 33 |
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