Clean, minimal, accessible reproduction of DeepSeek R1-Zero

SWE-bench [Multimodal]: Can Language Models Resolve Real-world Github Issues?

Easily fine tune GPT-2 to fill in missing text

For the code release of our arXiv paper "Revisiting Few-sample BERT Fine-tuning" (https://arxiv.org/abs/2006.05987).

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation)

Reproduction of WAGE in PyTorch.

Framework for learning dialogue agents in a two-player game setting.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Jupiter neural network library