Pinned Repositories
Binary-BERT
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
BiT
Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer
BNN_NoBN
[CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang
Compact-Transformers
[Preprint] Escaping the Big Data Paradigm with Compact Transformers, 2021
DDTB
Pytorch implementation of our paper accepted by ECCV2022 -- Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks
DeltaCNN
DeltaCNN End-to-End CNN Inference of Sparse Frame Differences in Videos
E2FIF
Simple but stronge baseline for binarized super-resolution networks (BSRNs).
EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
HAWQ
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
installation
Datasets, Transforms and Models specific to Computer Vision
Jasonrjw's Repositories
Jasonrjw/Binary-BERT
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
Jasonrjw/BiT
Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer
Jasonrjw/BNN_NoBN
[CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang
Jasonrjw/Compact-Transformers
[Preprint] Escaping the Big Data Paradigm with Compact Transformers, 2021
Jasonrjw/DDTB
Pytorch implementation of our paper accepted by ECCV2022 -- Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks
Jasonrjw/DeltaCNN
DeltaCNN End-to-End CNN Inference of Sparse Frame Differences in Videos
Jasonrjw/E2FIF
Simple but stronge baseline for binarized super-resolution networks (BSRNs).
Jasonrjw/EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
Jasonrjw/HAWQ
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
Jasonrjw/installation
Datasets, Transforms and Models specific to Computer Vision
Jasonrjw/LAB
The official repository for the paper LAB: Learnable Activation Binarizer for Binary Neural Networks.
Jasonrjw/Lipreading_using_Temporal_Convolutional_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
Jasonrjw/loss-landscape
Code for visualizing the loss landscape of neural nets
Jasonrjw/LSQ_plus
3rd place solution for NeurIPS 2019 MicroNet challenge
Jasonrjw/LSQplus
LSQ+ or LSQplus
Jasonrjw/mcunet
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
Jasonrjw/Nonuniform-to-Uniform-Quantization
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.
Jasonrjw/PAMS
PArameterized Max Scale
Jasonrjw/pytoflow
The py version of toflow → https://github.com/anchen1011/toflow
Jasonrjw/ReActNet
ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.
Jasonrjw/RepOptimizers
Official repo of RepOptimizers and RepOpt-VGG
Jasonrjw/SESR
Super-Efficient Super Resolution
Jasonrjw/SlowFast
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
Jasonrjw/spconv-plus
Focal Sparse Convolutional Networks for 3D Object Detection
Jasonrjw/spvnas
[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Jasonrjw/tinyml
Jasonrjw/torchsparse
[MLSys'22] TorchSparse: Efficient Point Cloud Inference Engine
Jasonrjw/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Jasonrjw/X3D
[CVPR 2020] X3D: Expanding Architectures for Efficient Video Recognition