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📚 Freely available programming books
🤗 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.
Command-line program to download videos from YouTube.com and other video sites
The simplest, fastest repository for training/finetuning medium-sized GPTs.
AI agents running research on single-GPU nanochat training automatically
A toolkit for developing and comparing reinforcement learning algorithms.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Google Chromium, sans integration with Google
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Jupyter metapackage for installation and documentation
TensorFlow-based neural network library
Deep universal probabilistic programming with Python and PyTorch
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
A TensorFlow implementation of the Differentiable Neural Computer.
Natural Questions (NQ) contains real user questions issued to Google search, and answers found from Wikipedia by annotators. NQ is designed for the training and evaluation of automatic question ans…
Voice Converter Using CycleGAN and Non-Parallel Data
This repository contains the three WikiReading datasets as used and described in WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia, Hewlett, et al, ACL 2016 (the English W…
MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension and question answering