Starred repositories
Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Modalities, a PyTorch-native framework for distributed and reproducible foundation model training.
Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)
Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.
A repository for research on medium sized language models.
A curated list of engineering blogs
niceML 🍦 is a Python-based MLOps framework designed to streamline the development and maintenance of machine learning projects, offering efficient and scalable pipelines using TensorFlow and Dagster.
Repository includes SDK and code examples. More info https://polar.com/en/developers
🦜🔗 The platform for reliable agents.
Place where folks can contribute to 🤗 community events
🤗 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.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Hydra is a framework for elegantly configuring complex applications
Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS ev…
A list of semi to fully remote-friendly companies (jobs) in tech.
Azure Object Detection Accelerator. A repo for quickly and easily setting up a sample object detection project with training, labelling, inference, testing and deployment. The repo uses a synthetic…
Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
This is an implementation of the DeepView framework that was presented in the paper Schulz, A., Hinder, F., & Hammer, B. (2020): https://www.ijcai.org/Proceedings/2020/319. Also available on Arxiv …
A computer algebra system written in pure Python
Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"