Top 738 deep-neural-networks open source projects

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

Synthesizing and manipulating 2048x1024 images with conditional GANs

An open source library for deep learning end-to-end dialog systems and chatbots.

🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018

Understanding Convolution for Semantic Segmentation

A flexible, high-performance serving system for machine learning models

Embedded and mobile deep learning research resources

📎 Summaries of papers on deep learning

The most cited deep learning papers

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

Compute Library for Deep Neural Networks (clDNN)

Named Entity Recognition using multilayered bidirectional LSTM

Python script for illustrating Convolutional Neural Networks (CNN) using Keras-like model definitions

Training code for facial landmark detection based on deep convolutional neural network.

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

List of awesome resources for machine learning-based algorithmic trading

speech to text benchmark framework

Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation

TensorFlow documentation

Data compression in TensorFlow

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

A New Optimization Technique for Deep Neural Networks

PyTorch implementation of the YOLO (You Only Look Once) v2

Experimental keras implementation of novel neural network structures

Gorgonia is a library that helps facilitate machine learning in Go.

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow

A PyTorch re-implementation of CPN (Cascaded Pyramid Network for Multi-Person Pose Estimation)

Hierarchical Object Detection with Deep Reinforcement Learning

Deep neural models for core NLP tasks (Pytorch version)

Neural Network TensorFlow C API

A pytorch adversarial library for attack and defense methods on images and graphs

The Tensor Algebra SuperOptimizer for Deep Learning

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

This is an open sourced book on deep learning.

RMDL: Random Multimodel Deep Learning for Classification

U-Net: Convolutional Networks for Biomedical Image Segmentation

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

Keras tutorial for beginners (using TF backend)

OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

Deep Learning Projects that Build Themselves

Action recognition using soft attention based deep recurrent neural networks

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture, Jester, Kinetics and UCF101

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Caffe for Sparse and Low-rank Deep Neural Networks

Tensorflow Implementation of Yahoo's Open NSFW Model

Machine Learning Environment - alpha version

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network (ECCV 2018)' paper

A Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

A Thai word tokenization library using Deep Neural Network

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

⏰ AI conference deadline countdowns

ByteNet for character-level language modelling