Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought and OpenAI o1 🍓

Awesome LLM papers, news and projects about learning to reason with LLM, OpenAI o1, reasonning techniques, chain-of-thought (COT), Large Language Model, Straberry

A bibliography and survey of the papers surrounding o1

The related works and background techniques about Openai o1

A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.

Train transformer language models with reinforcement learning.

An open source implementation of CLIP.

Create UIs for your machine learning model in Python in 3 minutes

A playbook for systematically maximizing the performance of deep learning models.

Contrastive Language-Audio Pretraining

Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)

HI-ML toolbox for deep learning for medical imaging and Azure integration

Video analysis tool for tennis

Unsupervised text tokenizer for Neural Network-based text generation.

A PyTorch library for benchmarking deep metric learning. It's powerful.

A comprehensive survey of deep metric learning and related works

Deep Learning Examples

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

Implementation of the BLUE benchmark with Transformers. The details of our pre-training procedure can be found in https://arxiv.org/abs/2005.07202.