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attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

ban-vqa

Bilinear attention networks for visual question answering

bottom-up-attention-vqa

An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

caffe-tensorflow

Caffe models in TensorFlow

cvpr17_vtranse

dense-coattention-network

Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering

git-recipes

🥡 Git recipes in Chinese by Zhongyi Tong. 高质量的Git中文教程.

guesswhat

GuessWhat?! Baselines

human-pose-estimation

simple and lightweight humanpose estimation

keras-project-template

A project template to simplify building and training deep learning models using Keras.

lightweight-human-pose-estimation.pytorch

Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

models

Models and examples built with TensorFlow

my_visdial

pytorch-faster-rcnn

0.4 updated. Support cpu test and demo.

pytorch-reinforce

PyTorch Implementation of REINFORCE for both discrete & continuous control

pytorch-template

PyTorch deep learning projects made easy.

pytorch-yolo-v3

A PyTorch implementation of the YOLO v3 object detection algorithm

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

pytorch_realtime_multi-person_pose_estimation

self-attention-gan

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

self-critical.pytorch

Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning

ssd

High quality, fast, modular reference implementation of SSD in PyTorch

tensorflow-cmake

TensorFlow examples in C, C++, Go and Python without bazel but with cmake and FindTensorFlow.cmake

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

test

tvqa

PyTorch code accompanies the TVQA dataset paper, in EMNLP 2018

videoqa

Video Question Answering via Gradually Refined Attention over Appearance and Motion

visdial.pytorch

visual dialog model in pytorch

vqa-mfb