Stars
Official implementation of our ICLR 2018 and SIGIR 2019 papers on Context-aware Neural Information Retrieval
Machine Learning Engineering Open Book
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
A playbook for systematically maximizing the performance of deep learning models.
Code for ICPR paper
The state-of-the-art image restoration model without nonlinear activation functions.
☁️ Build multimodal AI applications with cloud-native stack
Sparsity-aware deep learning inference runtime for CPUs
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Accelerated pose estimation and tracking using semi-supervised learning
Refine high-quality datasets and visual AI models
Python library assists deep learning on graphs
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
The most parameter efficient machine learning models on a few popular benchmarks
Implementation of ConvMixer for "Patches Are All You Need? 🤷"
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…
Official source code repository for QueryBlazer: Efficient Query Autocompletion Framework
Articles and posts on salary negotiation for devs/nerds/software engineers/tech people.
FFCV: Fast Forward Computer Vision (and other ML workloads!)
A curated list of resources on continual zero-shot learning
Code release for SLIP Self-supervision meets Language-Image Pre-training
Optimal peanut butter and banana sandwiches
🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
😎 A list of awesome scene understanding papers.
A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.