Reverse-engineering analysis plugin and visual workbench for DeepSeek Harness, combining static analysis, debugging, HTTP capture and protocol decoding.
Open-source Python framework for training and backtesting financial trading agents with deep reinforcement learning.
Python library providing GPU-accelerated tensor computation like NumPy, plus a tape-based autograd system for building deep neural networks.
Open-source C++ library of computer vision and image processing algorithms, with bindings for Python, Java, and other languages.
Optimized GPU and NPU attention kernels from DeepSeek for sparse prefill and FP8/FP4 KV-cache decoding in DeepSeek-V4.1 inference.
A library of model optimization techniques (quantization, pruning, distillation, NAS, speculative decoding, sparsity) that exports compressed checkpoints for inference frameworks.
An end-to-end open source platform for building and deploying machine learning models, with Python and C++ APIs.
PyTorch library for audio generation research, providing inference and training code for MusicGen, AudioGen, and EnCodec.
A neural network from OpenAI that scores how well text snippets match images, trained on image-text pairs for zero-shot prediction.
CUDA C++ templates and Python DSLs for building high-performance GEMM and other linear algebra kernels on NVIDIA GPUs.
Lightweight neural network inference framework for running AI models on Espressif ESP series chips.
NVIDIA's C++/CUDA library of optimized collective communication primitives (all-reduce, all-gather, broadcast, etc.) for multi-GPU and multi-node systems.
Python library that computes Shapley-value explanations for the predictions of any machine learning model.
LaTeX/TikZ code for drawing neural network architecture diagrams for reports and presentations.