Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

A highly extensible software stack to empower everyone to build practical real-world live video analytics applications for object detection and counting with cutting edge machine learning algorithms.

Contrastive Language-Image Pretraining

Deep Learning (with PyTorch)

Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).

Source code and datasets for Ekya, a system for continuous learning on the edge.

Everything about Transfer Learning and Domain Adaptation--迁移学习

A Python-embedded modeling language for convex optimization problems.

A collection of AWESOME things about domian adaptation

OpenMMLab Detection Toolbox and Benchmark

[NeurIPS 2021] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Triton backend that enables pre-process, post-processing and other logic to be implemented in Python.

Google Brain AutoML

A collection of resources on neural rendering.

(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

Unofficial implementation of One-Shot Free-View Neural Talking Head Synthesis

A comprehensive list of awesome contrastive self-supervised learning papers.

Model-less Inference Serving

Dynamic Tensor Rematerialization prototype (modified PyTorch) and simulator. Paper: https://arxiv.org/abs/2006.09616

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

Kubernetes Native Edge Computing Framework (project under CNCF)