Tensors and Dynamic neural networks in Python with strong GPU acceleration
An Open Source Machine Learning Framework for Everyone
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
Frontier CoreML audio models in your apps β text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
A machine learning accelerator core designed for energy-efficient AI at the edge.
Espressif deep-learning library for AIoT applications
Latex code for making neural networks diagrams
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API