Python - 100天从新手到大师
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PythonDataScienceHandbookby jakevdp
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data-science-ipython-notebooksby donnemartin
Python 25193 Version:Current License: Proprietary (Proprietary)
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
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The fundamental package for scientific computing with Python.
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Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
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Fast multi-threaded, hybrid-out-of-core DataFrame library in Rust | Python | Node.js
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deep-learning-with-python-notebooksby fchollet
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Jupyter notebooks for the code samples of the book "Deep Learning with Python"
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🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
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Parallel computing with task scheduling
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100 numpy exercises (with solutions)
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numerical-linear-algebraby fastai
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Open Machine Learning Course
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😍 Python 抖音机器人，论如何在抖音上找到漂亮小姐姐？
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NumPy aware dynamic Python compiler using LLVM
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NumPy & SciPy for GPU
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Deep learning operations reinvented (for pytorch, tensorflow, jax and others)
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A Python implementation of global optimization with gaussian processes.
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中文 Python 笔记
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Efficiently computes derivatives of numpy code.
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A library to generate LaTeX expression from Python code.
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Python code for "Probabilistic Machine learning" book by Kevin Murphy
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cuDF - GPU DataFrame Library
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Image processing in Python
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NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
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Simple examples to introduce PyTorch
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Create delightful software with Jupyter Notebooks
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🚀1K tiny & fast lib for doing addition, subtraction, multiplication and division operations precisely
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Technical Analysis Library using Pandas and Numpy
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Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.
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Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
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NumPy and Pandas interface to Big Data
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A simple and efficient tool to parallelize Pandas operations on all available CPUs
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Python 黑魔法手册
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N-D labeled arrays and datasets in Python
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C++ tensors with broadcasting and lazy computing
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C++ implementation of the Python Numpy library
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ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
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Performance analysis of predictive (alpha) stock factors
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Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
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python_data_structures_and_algorithmsby PegasusWang
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Python 中文数据结构和算法教程
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Python interface to Google word2vec
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JAX-based neural network library
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DeepLearningPythonby MichalDanielDobrzanski
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An Android's two-dimensional RecyclerView. Not only can load historical data, but also can load future data.
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A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
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Python-100-Daysby jackfrued
Python - 100天从新手到大师
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pytorchby pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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PythonDataScienceHandbookby jakevdp
Python Data Science Handbook: full text in Jupyter Notebooks
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data-science-ipython-notebooksby donnemartin
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
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numpyby numpy
The fundamental package for scientific computing with Python.
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jaxby google
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
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polarsby pola-rs
Fast multi-threaded, hybrid-out-of-core DataFrame library in Rust | Python | Node.js
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deep-learning-with-python-notebooksby fchollet
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
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datasetsby huggingface
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
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daskby dask
Parallel computing with task scheduling
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numpy-100by rougier
100 numpy exercises (with solutions)
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numerical-linear-algebraby fastai
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
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mlcourse.aiby Yorko
Open Machine Learning Course
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Douyin-Botby wangshub
😍 Python 抖音机器人，论如何在抖音上找到漂亮小姐姐？
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numbaby numba
NumPy aware dynamic Python compiler using LLVM
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traxby google
Trax — Deep Learning with Clear Code and Speed
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einopsby arogozhnikov
Deep learning operations reinvented (for pytorch, tensorflow, jax and others)
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BayesianOptimizationby fmfn
A Python implementation of global optimization with gaussian processes.
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notes-pythonby lijin-THU
中文 Python 笔记
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autogradby HIPS
Efficiently computes derivatives of numpy code.
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latexify_pyby google
A library to generate LaTeX expression from Python code.
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pyprobmlby probml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
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cudfby rapidsai
cuDF - GPU DataFrame Library
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scikit-imageby scikit-image
Image processing in Python
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neuraltalkby karpathy
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
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pytorch-examplesby jcjohnson
Simple examples to introduce PyTorch
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nbdevby fastai
Create delightful software with Jupyter Notebooks
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datasetsby tensorflow
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
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number-precisionby nefe
🚀1K tiny & fast lib for doing addition, subtraction, multiplication and division operations precisely
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taby bukosabino
Technical Analysis Library using Pandas and Numpy
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opencv-pythonby opencv
Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.
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python-is-coolby chiphuyen
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
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blazeby blaze
NumPy and Pandas interface to Big Data
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pandarallelby nalepae
A simple and efficient tool to parallelize Pandas operations on all available CPUs
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xarrayby pydata
N-D labeled arrays and datasets in Python
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xtensorby xtensor-stack
C++ tensors with broadcasting and lazy computing
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NumCppby dpilger26
C++ implementation of the Python Numpy library
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ndarrayby rust-ndarray
ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
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alphalensby quantopian
Performance analysis of predictive (alpha) stock factors
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marsby mars-project
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
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python_data_structures_and_algorithmsby PegasusWang
Python 中文数据结构和算法教程
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word2vecby danielfrg
Python interface to Google word2vec
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dm-haikuby deepmind
JAX-based neural network library
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DeepLearningPythonby MichalDanielDobrzanski
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
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excelPanelby zhouchaoyuan
An Android's two-dimensional RecyclerView. Not only can load historical data, but also can load future data.
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swifterby jmcarpenter2
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
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OpenCV-Python-Tutorialby CodecWang
📖 OpenCV-Python image processing tutorial for beginners
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