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Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer
[CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang
[Preprint] Escaping the Big Data Paradigm with Compact Transformers, 2021
Pytorch implementation of our paper accepted by ECCV2022 -- Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks
DeltaCNN End-to-End CNN Inference of Sparse Frame Differences in Videos
Simple but stronge baseline for binarized super-resolution networks (BSRNs).
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
Datasets, Transforms and Models specific to Computer Vision
The official repository for the paper LAB: Learnable Activation Binarizer for Binary Neural Networks.
ICASSP'22 Training Strategies for Improved Lip-Reading; ICASSP'21 Towards Practical Lipreading with Distilled and Efficient Models; ICASSP'20 Lipreading using Temporal Convolutional Networks
Code for visualizing the loss landscape of neural nets
3rd place solution for NeurIPS 2019 MicroNet challenge
LSQ+ or LSQplus
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.
PArameterized Max Scale
The py version of toflow → https://github.com/anchen1011/toflow
ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.
Official repo of RepOptimizers and RepOpt-VGG
Super-Efficient Super Resolution
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
Focal Sparse Convolutional Networks for 3D Object Detection
[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
[MLSys'22] TorchSparse: Efficient Point Cloud Inference Engine
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
[CVPR 2020] X3D: Expanding Architectures for Efficient Video Recognition
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.