lmm077 Goto Github PK

adversarial_video_generation

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

algorithm_interview_notes-chinese-1

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。

ann

semantic segmentation，pytorch，non-local

awesome-algorithm

LeetCode, HackRank, 剑指offer, classic algorithm implementation

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

bes

This is the implementation of BES (Weakly supervised Semantic Segmentation with Boundary Exploration), that is published in ECCV 2020.

blt

BLT

ccnet

CCNet: Criss-Cross Attention for Semantic Segmentation (ICCV 2019).

cian

CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation

comp-7807

COMP-7807

conta

Implementation for NeurIPS oral paper: Causal Intervention for Weakly-Supervised Semantic Segmentation

cpp_primer_practice

搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。

cse291g-sv2p

CDNA and SV2P reimplementation and improvement for class project

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

davis

Package containing helper functions for loading and evaluating DAVIS

deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

deeplab-pytorch

PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC

disentangled_vae

Replicating "Understanding disentangling in β-VAE"

drnet

drnet-1

PyTorch implementation of the NIPS 2017 paper - Unsupervised Learning of Disentangled Representations from Video

drnet-py

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

emanet

The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)

eps

Official PyTorch implementation of "Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation", CVPR2021

everythingtalking

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

factorvae

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

fc-densenet

Fully Convolutional DenseNets for semantic segmentation.