erfanzar

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

llama.cpp

LLM inference in C/C++

Open-Assistant

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

onnx

Open standard for machine learning interoperability

triton

Development repository for the Triton language and compiler

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

self-instruct

Aligning pretrained language models with instruction data generated by themselves.

brax

Massively parallel rigidbody physics simulation on accelerator hardware.

equinox

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

optax

Optax is a gradient processing and optimization library for JAX.

pypeln

Concurrent data pipelines in Python >>>

jax-windows-builder

A community supported Windows build for jax.

arcade-nl2code

triton

Fork of Triton repository for OpenXLA uses of the Triton language and compiler