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Robust Speech Recognition via Large-Scale Weak Supervision
Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.
A high-throughput and memory-efficient inference and serving engine for LLMs
The communications platform that puts data protection first.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
💫 Industrial-strength Natural Language Processing (NLP) in Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Visualizer for neural network, deep learning and machine learning models
A playbook for systematically maximizing the performance of deep learning models.
Deezer source separation library including pretrained models.
Latex code for making neural networks diagrams
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
Fast and memory-efficient exact attention
A TTS model capable of generating ultra-realistic dialogue in one pass.
PyTorch implementations of Generative Adversarial Networks.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translatio…
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
QLoRA: Efficient Finetuning of Quantized LLMs