Showing 1-14 of 14 projects
PyTorch is a Python library for tensor computation and deep learning with GPU acceleration.
A tiny autograd engine and neural net library with a PyTorch-like API
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
Efficiently computes derivatives of NumPy code, a useful tool for AI/ML developers.
A C++ standalone library for machine learning and autograd
MegEngine is a fast, scalable, and easy-to-use deep learning framework that supports auto-differentiation.
This repository provides interview preparation resources for AI and machine learning developers.
An engine-agnostic deep learning framework in Java that supports popular AI/ML runtimes like TensorFlow, PyTorch, and ONNX.
A probabilistic programming library powered by NumPy and JAX for Bayesian inference and MCMC sampling.
Deep learning library for Rust with shape-checked tensors and neural networks
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices.
A GitHub repository for Owl, a OCaml Scientific Computing framework
An optimized PyTorch extension for efficient sparse matrix operations with autograd support.
A pedagogical implementation of Autograd, a library for automatic differentiation in Python.
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