Top 738 deep-neural-networks open source projects

Deep Neural Network Sandbox for JavaScript.

WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.

Caffe2 is a lightweight, modular, and scalable deep learning framework.

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

Fake News Detection using Deep Learning models in Tensorflow

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

Tensorflow Implementation of ChannelNets (NeurIPS 18)

The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

📢 Ready to learn or review your knowledge!

My Solution to Assignments of CS231n in Winter2016

Gluon to PyTorch deep neural network model converter

A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.

All DeepLearning4j projects go here.

An ONNX (Open Neural Network eXchange) API and Backend for Typeful, Functional Deep Learning in Scala

Resources for deep learning with satellite & aerial imagery

TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).

PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks"

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.

Train AI (Keras + Tensorflow) to defend apps with Django REST Framework + Celery + Swagger + JWT - deploys to Kubernetes and OpenShift Container Platform

Iterative Residual Network for Deep Joint Image Demosaicking and Denoising

Ideal Ratio Mask (IRM) Estimation based Speech Enhancement using LSTM

ConvNets for Audio Recognition using Google Commands Dataset

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

MobilNet-SSD object detection in opencv 3.4.1

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

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MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Application of machine learning to the Coinbase (GDAX) orderbook

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

Create automatic playlists by using Deep Learning to *listen* to the music

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

A simple and useful implementation of LPIPS.

3D Unet Equipped with Advanced Deep Learning Methods

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.

A Swift deep learning library with Accelerate and Metal support.

The Official Deep Learning Framework for Route-based Place Recognition

Band-Adaptive Spectral-Spatial Feature Learning Deep Neural Network for Hyperspectral Image Classification

The collection of training tricks of binarized neural networks.

Awesome artificial intelligence in cancer diagnostics and oncology

DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks

🔥🔥 Deep Learning Head Pose Estimation using PyTorch.

Instantly improve your training performance of TensorFlow models with just 2 lines of code!

Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction

Code repo for "Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution" (CVPRW NTIRE2020).

A Natural Language Toolkit for Indian Languages

JAX-based neural network library

Useful information about PyTorch modules (FLOPs, MACs, receptive field, etc.)

Mostly free resources for end-to-end machine learning engineering, including open courses from CalTech, Columbia, Berkeley, MIT, and Stanford (in alphabetical order).

GPU accelerated Deep Belief Network

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility