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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
🦜🔗 Build context-aware reasoning applications
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
A collection of learning resources for curious software engineers
Making large AI models cheaper, faster and more accessible
Developer-first error tracking and performance monitoring
A toolkit for developing and comparing reinforcement learning algorithms.
Streamlit — A faster way to build and share data apps.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
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…
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
Open source platform for the machine learning lifecycle
Faker is a Python package that generates fake data for you.
Open standard for machine learning interoperability
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Multilingual Sentence & Image Embeddings with BERT
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
End-to-End Object Detection with Transformers
Fast and memory-efficient exact attention
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
Anomaly detection related books, papers, videos, and toolboxes
A Python implementation of global optimization with gaussian processes.
An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io