77 Open Source Deep Software Projects

Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

A mindmap summarising Deep Learning concepts.

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

A deep learning model for style-specific music generation.

Deep diffs two objects, including nested structures of arrays and objects, and returns the difference. ❄️

Action recognition using soft attention based deep recurrent neural networks

A curated list of amazingly awesome Cybersecurity datasets

JavaScript object detection lightweight library for augmented reality (WebXR demos included). It uses convolutional neural networks running on the GPU with WebGL.

High-performance immutable data structures for modern JavaScript and TypeScript applications. Functional interfaces, deep/composite operations API, mixed mutability API, TypeScript definitions, ES2015 module exports.

Example codes of new book ROS Robotics Projects

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Recursively (deep) clone JavaScript native types, like Object, Array, RegExp, Date as well as primitives. Used by superstruct, merge-deep, and many others!

An isomorphic and configurable javascript utility for objects deep cloning that supports circular references.

A professional deep clone library

Use property paths (`a.b.c`) get a nested value from an object.

Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model

Few Shot Learning by Siamese Networks, using Keras.

implemement of DEEP SUPERVISED HASHING FOR FAST IMAGE RETRIEVAL_CVPR2016

Recursively merge values in a JavaScript object.

Code release for "3D-RelNet: Joint Object and Relation Network for 3D prediction"

CAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.

Assert deeply nested values in Jest

Deeply mix the properties of objects into the first object, while also mixing-in child objects.

Introspection for serializable arrays and JSON friendly objects.

🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)

YoloV3 in Pytorch and Jupyter Notebook

A deep learning based model to judge the AQ, Appearance Quotient, of faces. (For Chinese Young Girls Only)

Tensorflow Tutorial files and Implementations of various Deep NLP and CV Models.

Suite of Deep compositing tools for Foundry's Nuke.

Demo applications showcasing DJL

Recursively omit specified keys from an object.

Deep residual neural network for protein contact/distance prediction developed by Xu group

Cloning ES5+ objects in a shallow or deep way

Prunable nn layers for pytorch.

Holistically-Attracted Wireframe Parsing

Recursively iterates over collections arrays and objects

Material for PyCon 2019 NLP Tutorial

This is the implementation of paper Model Free Episodic Control

vehicle detection with deep learning

[ICCV17] DeepCD: Learning Deep Complementary Descriptors for Patch Representations

A tiled DeepDream project for creating any size of image, on both CPU and GPU

Talk is cheap,show me the code ! Deep Learning,Leaning deep,Have fun!

Semantic Structure-based Unsupervised Deep Hashing IJCAI2018

End to End learning for Video Generation from Text

Omit object key/values recursively

Learning to match local patches/keypoints from image-level annotations

This project demonstrates how to run and save predictions locally using exported tensorflow estimator model

AKS Deployment Tutorial

Like `extend` but recursively copies only the missing properties/values to the target object.

This is an implementation of very deep two stream CNNs for action recognition. The implementation is inspired by Wang et. al., https://github.com/yjxiong/caffe. Some improvements from Wang's implementation include reading videos from LDMB database, faster testing using LDMB interface. The aim is to work better with big dataset such as UCF101, HMDB51, Sports1M and ActivityNet easily.

:art: Artistic neural style transfer with tweaks (pytorch).

Deep Q Network implements by Tensorflow

NodeJs make a raw text tree representation of a directory's content, with max-deep paramater.

OptKeras: wrapper around Keras and Optuna for hyperparameter optimization

Lego parts classifier using deep neural networks

IOU as loss for object detection tasks and IOU as metric for object detection tasks

IEX Trading library to parse TOPS and DEEP multicast packets

Simple module to sort objects recursively by its keys

Tamil Handwriting Detection through Deep Learning

This is Multi agent deep reinforcement learning repo which trains an agent to play Tennis. It trains by playing against itself.

Reinforcement learning algorithms implemented using Keras and OpenAI Gym

Map/rename keys recursively with Lodash

:mag: _.haz() is like _.has() but this underscore and/or lodash mixin lets you do deep object key existence checking with a dot denoted string, for example 'a.b.c'

Library for Deep Gaussian Processes based on GPflow

A minimal Implementation of VGG16 Deep Learning Model in Python using L-BFGS to perform Image Styling/Blending

Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)

No longer being supported or maintained. A Graph Theory & Data Structure Library for JavaScript.

IEX Trading open source incremental Order Book implementation

FPGA Deployable Fire Detection Model for Real-Time Video Surveillance Systems Using Convolutional Neural Networks

Undergraduate research by Yuzhe Lim @ Spring 2019. Field of research: Deep Neural Networks application on NILM (Nonintrusive load monitoring) for Energy Disaggregation

Deep learning lecture materials

A really small library, almost 150 bytes min + gzip, to take value from object using a string for path expression or returns a placeholder if value is undefined or unreachable.

This contains the solutions to the assignments given in The School of AI - Extensive Vision AI 4.0 EVA4

야매장기 - 알파고를 참고한 장기 AI

Time series forecasting with PyTorch