mingsun-tse Goto Github PK

3d-vision-papers

adaptive-style-transfer

source code for the ECCV18 paper A Style-Aware Content Loss for Real-time HD Style Transfer

admm-pruning

Prune DNN using Alternating Direction Method of Multipliers (ADMM)

adversarialattacks

agnosticmc

assl

[NeurIPS'21 Spotlight] Aligned Structured Sparsity Learning for Efficient Image Super-Resolution (PyTorch)

automatic_speech_recognition

End-to-end automatic speech recognition for Madarian and English in Tensorflow

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-efficient-vit

Recent Advances on Efficient Vision Transformers

awesome-nerf

A curated list of awesome neural radiance fields papers

awesome-pruning-at-initialization

[IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.

awesome-speech-recognition-speech-synthesis-papers

automatic speech recognition paper roadmap, including HMM, DNN, RNN, CNN, Seq2Seq, Attention

binarynet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

caffe

Caffe: a fast open framework for deep learning.

caffe-model

Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks

caffe-tensorflow

Caffe models in TensorFlow

caffe_increg

[IJCNN'19, IEEE JSTSP'19] Caffe code for our paper "Structured Pruning for Efficient ConvNets via Incremental Regularization"; [BMVC'18] "Structured Probabilistic Pruning for Convolutional Neural Network Acceleration"

channel-pruning

Channel Pruning for Accelerating Very Deep Neural Networks

collaborative-distillation

[CVPR'20] Collaborative Distillation for Ultra-Resolution Universal Style Transfer (PyTorch)

colorization

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

context-cluster

[ICLR 2023 Oral] Image as Set of Points

context_encoder_pytorch

PyTorch Implement of Context Encoders: Feature Learning by Inpainting

convnet-benchmarks

Easy benchmarking of all publicly accessible implementations of convnets

cs231n.github.io

Public facing notes page

dafl

A Pytorch implementation of "Data-Free Learning of Student Networks" (ICCV 2019).

deep-expander-networks

Implementation of our ECCV '18 paper " Deep Expander Networks: Efficient Deep Networks from Graph Theory".

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deephoyer

DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures

deepinversion

Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)

deeplearningtheories

Collection of recent papers on deep learning theories