Luminoth - Python
(Jan 2020) Luminoth is not maintained anymore. We recommend switching to Facebook's Detectron2, which implements more modern algorithms supporting additional use cases. Luminoth is an open source toolkit for computer vision. Cur
DeepLearningSpeedComparison - Python
Deep Learning frameworks comparison on CPU This repository is test code for comparison of several deep learning frameworks. The target models are VGG-16 and MobileNet. All sample code have docker file, and the test environment is
Gluon api - Jupyter Notebook
The Gluon API Specification The Gluon API specification is an effort to improve speed, flexibility, and accessibility of deep learning technology for all developers, regardless of their deep learning framework of choice. T
Incubator mxnet - C++
Apache MXNet (incubating) for Deep Learning Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize eff
Awesome deep learning music - TeX
Deep Learning for Music (DL4M) By Yann Bayle (Website, GitHub) from LaBRI (Website, Twitter), Univ. Bordeaux (Website, Twitter), CNRS (Website, Twitter) and SCRIME (Website). TL;DR Non-exhaustive list of scientific articles o
Plaidml - C++
A platform for making deep learning work everywhere. Documentation | Installation Instructions | Building PlaidML | Contributing | Troubleshooting | Reporting Issues To Our Users First off, we’d like to thank you f
Deepo - Python
Deepo is a series of Docker images that allows you to quickly set up your deep learning research environment supports almost all commonly used deep learning frameworks supports GPU acceleration (CUDA and cuDNN included), also
DistributedDeepLearningReads -
Distributed Deep Learning Reads Compilation of literature related to distributed deep learning. Pull requests welcome :) 100-epoch ImageNet Training with AlexNet in 24 Minutes Accumulated Gradient Normalization Accurate,
CNTK World - Python
CNTK World This repository is aimed to provide simple and ready-to-use tutorials for CNTK. Each tutorial has a source code. Table of Contents Motivation Why using CNTK? What's the point of
Pytorch DRL - Python
pytorch-madrl This project includes PyTorch implementations of various Deep Reinforcement Learning algorithms for both single agent and multi-agent. A2C ACKTR DQN DDPG PPO It is written in a modular way to all
TypedFlow - Haskell
TypedFlow TypedFlow is a typed, higher-order frontend to TensorFlow and a high-level library for deep-learning. The main design principles are: To make the parameters of layers explicit. This choice makes sharing of paramete
Deep architecture genealogy - Python
Deep Architecture Genealogy There are so many new models and architectures. If you find something interesting and worth paying attention to, please send us a pull requests (PR) and write issues. README.md is automatically generat
Radio transformer networks - Python
An Introduction to Deep Learning for the Physical Layer An usable PyTorch implementation of the noisy autoencoder infrastructure in the paper "An Introduction to Deep Learning for the Physical Layer" by Kenta Iwasaki on behalf of
Tutorial BayesianCompressionForDL - Python
Code release for "Bayesian Compression for Deep Learning" In "Bayesian Compression for Deep Learning" we adopt a Bayesian view for the compression of neural networks. By revisiting the connection between the minimum description l
DRL AutonomousVehicles - Python
Autonomous vehicle navigation based on Deep Reinforcement Learning This project is about training a vehicle, such as a car or a drone, to navigate in 3D space (either the real world, or a realistic virutal environment) autonomous
SiaNet - C#
Trello is used to track SiaNet devlopment activities. You are welcome to watch any task and track progress. Suggestion will be put on the wishlist and then will be planned out for development https://trello.com/b/bLbgQLgy/sianet-de
PGPortfolio - Python
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"
BlinkDL - JavaScript
BlinkDL A minimalist deep learning library in Javascript using WebGL + asm.js. Runs in your browser. Currently it is a proof-of-concept (inference only). Note: Convolution is buggy when memories overlap. The WebGL backend is po
Deep Learning with Keras - Jupyter Notebook
Deep Learning with Keras This is the code repository for Deep Learning with Keras, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish. About the Boo
Deep head pose - Python
Hopenet Hopenet is an accurate and easy to use head pose estimation network. Models have been trained on the 300W-LP dataset and have been tested on real data with good qualitative performance. For details about the m
SegModel - C++
SegModel This repository is for Semantic Segmentation via Structured Patch Prediction, Context CRF and Guidance CRF. @inproceedings{shen2017segmodel, author = {Falong Shen, Gan Rui, Shuicheng Yan and Gang Zeng}, title = {Sem
Deep learning and the game of go - Python
Deep Learning and the Game of Go This repository is first and foremost a comprehensive machine learning framework for the game of Go, focussing on deep learning techniques. What you'll find here is a library that builds up from
Deep learning with r notebooks - HTML
R Markdown Notebooks for "Deep Learning with R" This repository contains R Markdown notebooks implementing the code samples found in the book Deep Learning with R (Manning Publications). Note that the original text of the book fe
RelNN - Java
Summary The source code and the datasets used for the experiments in my "Relational Aggregation using First-Order Deep Neural Models" paper to appear at AAAI-18. How to access the datasets: The MovieLens 1M dataset is
Tensorflow recipes - Python
TensorFlow-Recipes (Tensorpack-Recipes) Several TensorFlow implementations of recent papers based on the tensorpack framework. Unfortunately, there is a difference between re-implementing deep-learning papers, and re-obtaining t
DRBox - C++
DRBox By Lei Liu (mail: [email protected]) Introduction DRBox is used for detection tasks where the objects are orientated arbitrarily. This code show examples that DRBox is used to detect vehicles, ships and airpla
Artificio - Python
artificio: A suite of computer vision deep learning algorithms We provide here a suite of deep learning computer vision algorithms that are ready for real-world use: Image Retrieval (via Transfer Learning)
Chainer chemistry - Python
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry Chainer Chemistry is a deep learning framework (based on Chainer) with applications in Biology and Chemistry. It supports various state-of-the-art m
Poor mans deep learning camera - Python
Poor Man's Deep Learning Camera Build a thin client deep learning camera in Python with the Raspberry Pi, Flask, and YOLO Installation You'll need a few different libraries installed on the Raspberry Pi. Most notabl
Tensorflow 1.4 billion password analysis - Python
1.4 Billion Text Credentials Analysis (NLP) Using deep learning and NLP to analyze a large corpus of clear text passwords. Objectives: Train a generative model. Understand how people change their passwords over time: hello
PassGAN - Python
PassGAN This repository contains code for the PassGAN: A Deep Learning Approach for Password Guessing paper. The model from PassGAN is taken from Improved Training of Wasserstein GANs and it is assumed that the authors of PassGA
Snap n eat - Jupyter Notebook
Snap & Eat (formerly deep139) Deep Learning Hackathon 48h - Cotidiano (First place Project =D ) We believe nutrition tracking should be as simple as taking a picture. Snap & Eat is a web application that tracks the user
Evolving simple organisms - Python
evolving-simple-organisms Evolving simple organisms using a genetic algorithm and deep learning from scratch with python. The tutorial for this repo is located here -> https://nathanrooy.github.io/posts/2017-11-30/evolving-
Picar - TeX
This repository is obsolete. Please check out the new repository at: https://github.com/mbechtel2/DeepPicar-v2 DeepPicar DeepPicar is a low-cost autonomous RC car platform using a deep convolutional neural network
Psychic - C
Psychic Psychic is a C implementation of some of the most common Artificial Neural Network models which based on PsyC. It provides a linkable dynamic library and a command line tool. It has been written mainly for autodidactic pu
Sednn - Python
deep_learning_for_speech_enhancement_keras_python deep learning based speech enhancement using keras python Authors: YONG XU & QIUQIANG KONG Goal: Make the GPU-C++ code project convert to python code wh
HereIsWally - Python
HereIsWally Deep learning project that solves Where's Wally puzzles by finding the exact position of Wally in an image HereIsWally is a Tensorflow project that includes a model for solving Where's Wally puzzles. It uses Faster
Headless gl - JavaScript
deeplearn-gl deeplearn-gl lets you create a WebGL context in node.js without making a window or loading a full browser environment. This fork provides enough capability to run deeplearn.js using the GPU (with GPU processing
Pytorch zssr - Python
PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning
MMdnn - Python
MMdnn MMdnn is a comprehensive and cross-framework tool to convert, visualize and diagnose deep learning (DL) models. The "MM" stands for model management, and "dnn" is the acronym of deep neural network. Major features inc
Rich mans deep learning camera - Python
Rich Man's Deep Learning Camera Building a Self Contained Deep Learning Camera with the NVIDIA Jetson and Python Installation You'll need to have OpenCV 3 and Darkflow installed on the NVIDIA Jetson TX1 or TX2. You
TensorFlow World Resources - Python
TensorFlow-World-Resources - Project Page Table of Contents Introduction Motivation Why using TensorFlow? What's the point of this open source project?
Stanford tensorflow tutorials - Python
stanford-tensorflow-tutorials This repository contains code examples for the course CS 20: TensorFlow for Deep Learning Research. It will be updated as the class progresses. Detailed syllabus and lecture notes can be found h
Tvm mali - C
Note: The data and scripts here are all stale. Please go to https://github.com/dmlc/tvm/wiki/Benchmark#mobile-gpu For the latest results. Benchmarking Deep Neural Networks on ARM CPU/GPU This repo is the
Darkon - Python
Darkon: Toolkit to Hack Your Deep Learning Models Darkon is an open source toolkit to understand deep learning models better. Deep learning is often referred as a black-box that is difficult to understand. But, accounta
Simple ml serving - Python
https://github.com/hiveml/simple-ml-serving https://blog.thehive.ai simple-ml-serving Or, I just trained a machine learning model - now what ? This post goes over a quick and dirty way to deploy a trained machine lea
Deep q learning - Python
deep-q-learning PyTorch implementation of DeepMind's Human-level control through deep reinforcement learning paper (link). This research project proposes an general algorithm capable of learning how to play several popular Ata
Tensorflow speech recognition - Python
Tensorflow Speech Recognition Speech recognition using google's tensorflow deep learning framework, sequence-to-sequence neural networks. Replaces caffe-speech-recognition, see there for some background. Update Mozill
Pydlt - Python
PyTorch Deep Learning Toolbox PyDLT is a set of tools aimed to make experimenting with PyTorch easier (than it already is). Full Documentation here.. Features Trainers (currently supporting Vanilla, VanillaGAN,