Deep Learning

Deep Learning for humans

Caffe: a fast open framework for deep learning.

Deep Learning Book Chinese Translation

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

The most cited deep learning papers

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

The fastai deep learning library, plus lessons and tutorials

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

PyTorch library aimed at accelerating 3D deep learning research

A library for encrypted, privacy preserving machine learning

Trax — your path to advanced deep learning

PyTorch3d is FAIR's library of reusable components for deep learning with 3D data.

C++ Implementation of PyTorch Tutorial for Deep Learning Researchers

Repo for transient training paper at ICAC 2019.

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

rstudio::conf(2020) deep learning workshop

List of papers, code and experiments using deep learning for time series forecasting

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

밑바닥부터 시작하는 딥러닝2 복습 스터디

A Deep-Learning Chess Engine with some awesome features

Android app which is used to detect the blindness of the person using diabetic retinopathy. It predicts the results on the basis of the computer vision and deep learning approaches. A APTOS Blindness dataset contains 3500 images which are trained on the several pretrained models but for mobile application it is MobileNet is more preferable.

Deep Learning Projects using PyTorch

Remote sensing image classification based on deep learning

Implementation of Popular Deep Learning Network using pytorch

links to conference publications in graph-based deep learning

go-deep-util is utility for github.com/patrikeh/go-deep

Online demo of DRLViz, an interactive tool to understand decisions and memory in Deep Reinforcement Learning

Deep Learning based solution for fit clothing size recommendation

Land Cover Classification based on Landsat-8 imagery from Google Earth Engine

Library targeting Intel Architecture for specialized dense and sparse matrix operations, and deep learning primitives.

This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as described in "A General Framework for Uncertainty Estimation in Deep Learning" (Loquercio, Segù, Scaramuzza. RA-L 2019).

Deep learning using TensorFlow low-level APIs

deep learning course materials

udemy: applied deep learning the complete self driving car course

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! Training with TensorFlow has never been so easy.

Set up deep learning environment in a single command line.

Training & DevKit for Deep Learning / Machine Learning / Computer Vision

A 7 week introductory course to Deep Learning

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

TRAINS Agent - Auto-Magical DevOps for Deep Learning (Simple AI Cluster Solution)

A small library for managing deep learning models, hyperparameters and datasets

Visualizer for neural network, deep learning and machine learning models

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Barrage is an opinionated supervised deep learning tool built on top of TensorFlow 2.x designed to standardize and orchestrate the training and scoring of complicated models.

Deep Learning framework for fast and clean research with Pytorch

Train and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.

An API-first distributed deployment system of deep learning models using timeseries data to analyze and predict systems behaviour

A tool for computing the coding potential of RNA transcript sequences using deep learning classification model