Top 738 deep-neural-networks open source projects

Code for reproducing Manifold Mixup results (ICML 2019)

Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"

AI 尬舞机

VDSR (CVPR2016) pytorch implementation

A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception.

Recurrent Geometric Networks for end-to-end differentiable learning of protein structure

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

YOLO for object detection tasks

A curated list of awesome deep vision web demo

Deep Reinforcement Learning library for humans

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

Papers for deep neural network compression and acceleration

Implementation of Papers on Adversarial Examples

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ

deep learning based speech enhancement using keras or pytorch, make it easy to use

A fast Clojure Tensor & Deep Learning library

Transfer learning for time series classification

PAddle PARAllel text-to-speech toolKIT (supporting WaveFlow, WaveNet, Transformer TTS and Tacotron2)

A curated list of awesome Distributed Deep Learning resources.

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network' paper https://arxiv.org/abs/1807.04067

This is a repository for an object detection inference API using the Tensorflow framework.

RAD: Reinforcement Learning with Augmented Data

Deep Neural Network for Sentiment Analysis on Twitter

Примеры для курса "Программирование глубоких нейронных сетей на Python"

A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.

Learning to Cluster. A deep clustering strategy.

vendor independent deep learning library, compiler and inference framework microcomputers and micro-controllers

Plug and Play Real-Time Object Detection App with Tensorflow and OpenCV. No Bugs No Worries. Enjoy!

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

Torchreid: Deep learning person re-identification in PyTorch.

A high-performance distributed deep learning system targeting large-scale and automated distributed training.

This project aims to select a supervised algorithm that can predict stock prices basing on historical data and use the predictor generated to form trading strategies.

Deep Sort algorithm C++ version

A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise.

Minimalistic Multiple Layer Neural Network from Scratch in Python.

Visualizing where the Convolution Network is looking through CAM.

Keras implementation of "Deep Learning using Triplet Network" by Hoffer and Ailon. https://arxiv.org/pdf/1412.6622.pdf

This repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".

A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments.

TEXTOIR is a flexible toolkit for open intent detection and discovery. (ACL 2021)

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Computer Vision & Deep Learning course materials

AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise

Deep learning for the automated spectral classification of supernovae

Reference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data". We propose a procedure to generate realistic DP data synthetically. Our synthesis approach mimics the optical image formation found on DP sensors and can be applied to virtual scenes rendered with standard computer software. Lev…

Computer vision project to automatically recognize digits characters in a seven-segments display

A Portable C Library for Distributed CNN Inference on IoT Edge Clusters

A pointnet++ fork, with focus on semantic segmentation of differents datasets

Using deep learning to perform action recognition in the sport of tennis.

Repository for the experiments described in the paper named "DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus"

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Conceptual & empirical comparisons between decision forests & deep networks

Jupyter notebooks used as supporting material for an msc thesis about personalised aesthetic assessment using residual adapters.

Official implementation for "Image Quality Assessment using Contrastive Learning"

Documentation:

A simple implementation to create and train a neural network in python. This implementation does not use any machine learning framework.

https://machinelearning.wtf/ - An online glossary of machine learning terms.