Deep Learning

Frameworks for Neural Networks and Deep Learning.

Newest releases

juntang-zhuang NeurIPS 2020 Spotlight, trains fast as Adam, generalizes well as SGD, and is stable to train GANs.

xcfcode This repo contains a list of summarization papers including various topics.

bestfitting The 2nd place solution to the 2020 edition of the Google Landmark Recognition competition

BirenResearch ​ This project aims to help engineers, researchers and students to easily find and learn the good thoughts and designs in AI-related fields, such as AI/ML/DL accelerators, chips, and systems, proposed in the top-tier architecture

yizt crnn实现水平和垂直方向中文文字识别, 提供在3w多个中文字符训练的水平识别和垂直识别的预训练模型

cambridgeltl The Cross-lingual Choice of Plausible Alternatives dataset is a benchmark to evaluate the ability of machine learning models to transfer commonsense reasoning across languages.

99731 A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"

pmeier pystiche (pronounced /ˈpaɪˈstiʃ/ ) is a framework for Neural Style Transfer (NST) built upon PyTorch

RobustBench RobustBench: a standardized adversarial robustness benchmark [arXiv, Oct 2020]

conscienceli Joint Learning of Vessel Segmentation and Artery/Vein Classification

mjq11302010044 RRPN++: Guidance Towards More Accurate Scene Text Detection

HideUnderBush Unsupervised image-to-image translation method via pre-trained StyleGAN2 network

L0SG A flow-based network is considered to be inefficient in parameter complexity because of reduced expressiveness of bijective mapping, which renders the models prohibitively expensive in terms of parameters. We present an alternativ

KAIST-VCLAB [CVPR2020] TextureFusion: High-Quality Texture Acquisition for Real-Time RGB-D Scanning

craigleili Repository for "End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds"

Siyuada7 Official implementation of paper "TP-LSD: Tri-points based line segment detector" .

zyang-ur Improving One-stage Visual Grounding by Recursive Sub-query Construction, ECCV 2020

giannisdaras [NeurIPS 2020] "SMYRF: Efficient Attention using Asymmetric Clustering".

jayleicn [EMNLP 2020] What is More Likely to Happen Next? Video-and-Language Future Event Prediction

qilimk BigGAN-AM improves the sample diversity of BigGAN and synthesizes Places365 images.

Buzz-Beater Code for TPAMI 2020 paper "A Generalized Earley Parser for Human Activity Parsing and Prediction"

deepmind An implementation of the algorithm and experiments defined in "Ab-Initio Solution of the Many-Electron Schroedinger Equation with Deep Neural Networks", David Pfau, James S. Spencer, Alex G de G Matthews and W.M.C. Foulkes, Phys.

facebookresearch A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"

Z-yq State-of-the-art Automatic Speech Recognition in Tensorflow 2

PacktPublishing Python Feature Engineering Cookbook, published by Packt

AllenInstitute deepinterpolation is a Python library to denoise data by removing independent noise. Importantly training does NOT require ground truth

facebookresearch LA-MCTS is a new MCTS based derivative-free meta-solver. Compared to Bayesian optimization, and evolutionary algorithm, it learns to partition the search space, thereby 🌟 finding a better solution with fewer samples.

tyjiang1997 This repositorie is created for anyone who wants to do research about 3D detection in automanous scence. We will update the lateset papers as soon as possible.

XuyangBai [PyTorch] Implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features

srijarkoroy Here's a web-based application built to allow an user to upload an image of a handwritten digit or draw them in the app itself and get a prediction by the model as to what he/she has entered.

Wuziyi616 This is the official pytorch implementation for paper: IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration

taoxugit Pytorch implementation for reproducing AttnGAN results in the paper AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

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