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Highlights
ML
Massively Parallel Deep Reinforcement Learning. 🔥
Differentiable Rasteriser implemented in JAX. Reference: https://github.com/erwincoumans/tinyrenderer, https://github.com/ssloy/tinyrenderer/wiki; PR: https://github.com/google/brax/pull/367
An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io/vallex/
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
PFRL: a PyTorch-based deep reinforcement learning library
Transparent and Efficient Financial Analysis
Versatile audio super resolution (any -> 48kHz) with AudioSR.
🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX
A JAX-based simulator for autonomous driving research.
⚡ Flashbax: Accelerated Replay Buffers in JAX
Port of OpenAI's Whisper model in C/C++
A Hyperparameter Tuning Library for Keras
TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. Tensor…
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax
StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation
Instant voice cloning by MIT and MyShell. Audio foundation model.
Math OCR model that outputs LaTeX and markdown
Foundational model for human-like, expressive TTS
LAVIS - A One-stop Library for Language-Vision Intelligence
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
(Crafter + NetHack) in JAX. ICML 2024 Spotlight.
An open source SDK for logging, storing, querying, and visualizing multimodal and multi-rate data




