cyr0930
Follow
Stars
Tensors and Dynamic neural networks in Python with strong GPU acceleration
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
π A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
π€ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 π and reasoning techniques.
Official implementation of "OffsetBias: Leveraging Debiased Data for Tuning Evaluators"
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
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.
Companion webpage to the book "Mathematics For Machine Learning"
Lab Materials for MIT 6.S191: Introduction to Deep Learning
π©βπ»π¨βπ» Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
A Linux desktop featuring a traditional layout, built from modern technology and introducing brand new innovative features.