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An opinionated list of awesome Python frameworks, libraries, software and resources.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Models and examples built with TensorFlow
A collection of design patterns/idioms in Python
TensorFlow code and pre-trained models for BERT
A toolkit for developing and comparing reinforcement learning algorithms.
💫 Industrial-strength Natural Language Processing (NLP) in Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
⚡ A Fast, Extensible Progress Bar for Python and CLI
Code for the paper "Language Models are Unsupervised Multitask Learners"
Data Apps & Dashboards for Python. No JavaScript Required.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Open source platform for the machine learning lifecycle
State-of-the-Art Text Embeddings
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
StyleGAN - Official TensorFlow Implementation
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
An open-source NLP research library, built on PyTorch.
Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software development tasks.This framework enables Claud…
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.