onlyonewater's repositories
Machine-Learing-in-MATLAB
Application of machine learning in MATLAB
BERT-SQuAD
SQuAD Question Answering Using BERT, PyTorch
bottom-up-attention-vqa
An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.
BSN-boundary-sensitive-network.pytorch
Codes of our paper: "BSN: Boundary Sensitive Network for Temporal Action Proposal Generation"
clevr-dataset-gen
A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
CMIN_moment_retrieval
Cross-Modal Interaction Networks for Query-Based Moment Retrieval in Videos
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
densecap
Dense video captioning in PyTorch
EDA_NLP_for_Chinese
An implement of the paper of EDA for Chinese corpus.中文语料的EDA数据增强工具。NLP数据增强。论文阅读笔记。
Experiments-with-CUDA
A collection of CUDA source codes exploring the API in depth.
film
FiLM: Visual Reasoning with a General Conditioning Layer
ml-book-100-zh
:book: [译] 百页机器学习小书
mmdetection
Open MMLab Detection Toolbox and Benchmark
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
Obj-GAN
Obj-GAN - Official PyTorch Implementation
pdb2fasta
implementing PDB to FASTA file format conversion in multiple languages
pytorch-adda
A PyTorch implementation for Adversarial Discriminative Domain Adaptation
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
pytorch-i3d-feature-extraction
Code for I3D Feature Extraction
pytorch-video-recognition
PyTorch implemented C3D, R3D, R2Plus1D models for video activity recognition.
QANet-PyTorch
Re-implement "QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension"
QANet-pytorch-
A Pytorch implementation of QANet
SceneGraphParser
A python toolkit for parsing captions (in natural language) into scene graphs (as symbolic representations).
swd_pytorch
An unofficial PyTorch implementation for CVPR 2019 work "Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation"
Temporally-language-grounding
A Pytorch implemention for some state-of-the-art models for" Temporally Language Grounding in Untrimmed Videos"
Text-to-Clip_Retrieval
Implementation for "Multilevel Language and Vision Integration for Text-to-Clip Retrieval"
vqa-counting
[ICLR 2018] Learning to Count Objects in Natural Images for Visual Question Answering