Implementation of recent Deep Learning papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

A collection of awesome resources in Human Pose estimation.

High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis

Summaries for exciting works in the field of Deep Learning.

Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

Recent Deep Learning papers in NLU and RL

📓 A curated list of deep learning image matting papers and codes

📚 Survey of previous research and related works on machine learning (especially Deep Learning) in Japanese

Parallel random matrix tools and complexity for deep learning

repository for my TLDR for deep learning papers (and SML papers!)

Machine/deep learning papers that address the topic of privacy in visual data.

notes from machine learning, reinforcement learning and other papers

Fast and Accurate User constrained Thumbnail Generation using Adaptive Convolutions. | ICASSP 2019 [ORAL]

Notes on some important deep learning topics and paper summaries

A Pytorch implementation of the 2017 Huang et. al. paper "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization"

Notes of deep learning book by Ian Goodfellow and Yoshua Bengio and Aaron Courville

Code for "Five Hundred Deep Learning Papers, Graphviz and Python" (http://goo.gl/l1PIoi)

This is a curated list of tutorials, projects, libraries, videos, papers, books and anything related to applications of Deep Learning to biomedicine. Feel free to make a pull request to contribute to this list.

In this repository, I will keep my all Deep Learning project implementations.