Stars
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Train transformer language models with reinforcement learning.
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
Hackable and optimized Transformers building blocks, supporting a composable construction.
Stable Diffusion built-in to Blender
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
Reading Wikipedia to Answer Open-Domain Questions
A terminal-based presentation tool with colors and effects.
A Python toolbox for performing gradient-free optimization
Generate embeddings from large-scale graph-structured data.
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
A TensorFlow implementation of the Differentiable Neural Computer.
The magical reactive component framework for Django ✨
Bare bone examples of machine learning in TensorFlow
A modular RL library to fine-tune language models to human preferences
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
Helm Chart & Documentation for deploying JupyterHub on Kubernetes
BookNLP, a natural language processing pipeline for books
Collection of audio-focused loss functions in PyTorch
Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch
PySwip is a Python-Prolog interface that enables querying SWI-Prolog in your Python programs.
Deep Learning Networks for Real Time Guitar Effect Emulation using WaveNet with PyTorch
TuckER: Tensor Factorization for Knowledge Graph Completion
Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.
Jupyter Notebooks in S3 - Jupyter Contents Manager implementation