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.
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
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.
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.
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).
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
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