Explore Projects
Discover 93 open source projects
Showing 1-20 of 93 projects
pytorch/pytorch
PyTorch is a Python library for tensor computation and deep learning with GPU acceleration.
Asabeneh/30-Days-Of-Python
Comprehensive Python learning guide with 30 days of structured lessons and exercises
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook in Jupyter Notebooks
jax-ml/jax
JAX is a high-performance numerical computing library for Python, enabling transformations like differentiation and JIT compilation for GPUs/TPUs.
lutzroeder/netron
Visualize neural network, deep learning, and machine learning models
numpy/numpy
Fundamental package for scientific computing with Python
eriklindernoren/ML-From-Scratch
Barebones NumPy ML implementations for learning
donnemartin/data-science-ipython-notebooks
Data science Python notebooks covering deep learning, machine learning, big data, and more.
huggingface/datasets
AI-powered dataset management and preprocessing library for ML projects
exaloop/codon
A high-performance, zero-overhead, and extensible Python compiler with built-in NumPy support.
bbfamily/abu
Open-source quantitative trading system for stocks, options, futures, and Bitcoin, built with machine learning.
ddbourgin/numpy-ml
A comprehensive machine learning library in Python with implementations of various algorithms and models.
kailashahirwar/cheatsheets-ai
A comprehensive collection of cheat sheets for deep learning and machine learning researchers.
ivy-llc/ivy
Ivy is a Python library that simplifies converting machine learning code between frameworks like PyTorch, TensorFlow, and JAX.
rougier/numpy-100
A comprehensive collection of 100 NumPy exercises with solutions, great for learning and practicing numerical computing in Python.
dask/dask
Dask is a Python library for parallel computing and distributed data processing, providing a scalable alternative to NumPy and Pandas.
MorvanZhou/tutorials
Machine learning tutorials for Python developers
tangyudi/Ai-Learn
Comprehensive learning roadmap for AI & machine learning, with 200+ practical cases and projects for beginners to experts.
rougier/scientific-visualization-book
An open-access book on scientific visualization using Python and Matplotlib for data-driven developers
numba/numba
NumPy-aware dynamic Python compiler using LLVM, enabling fast, high-performance array and numerical computing.
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