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Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"
A PyTorch implementation of the Transformer model in "Attention is All You Need".
A curated list of papers, datasets and resources pertaining to open vocabulary object detection.
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Papers for Bayesian-NN
Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Must-read papers and resources related to causal inference and machine (deep) learning
Contrastive Language-Image Pretraining
Making large AI models cheaper, faster and more accessible
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).
Prompt Learning for Vision-Language Models
This is a collection of our NAS and Vision Transformer work.
[CVPR21] Dynamic Class Queue for Large Scale Face Recognition in the Wild
This repository contains implementations and illustrative code to accompany DeepMind publications
Example models using DeepSpeed
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
Official DeiT repository
Diffusion model papers, survey, and taxonomy
PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Official implementation of paper "Knowledge Distillation from A Stronger Teacher"
Code for EMNLP 2021 main conference paper "Dynamic Knowledge Distillation for Pre-trained Language Models"
FastFormers - highly efficient transformer models for NLU
Focal and Global Knowledge Distillation for Detectors (CVPR 2022)
Open-Set Grounded Text-to-Image Generation
Global Reasoning module for visual recognition
GPT-3: Language Models are Few-Shot Learners
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.