The Top 148 Deep Learning Algorithms Open Source Projects on Github

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The Top 148 Deep Learning Algorithms Open Source Projects on Github

Categories > Machine Learning > Deep Learning Algorithms

Colorization ⭐ 2,689

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

Interactive Deep Colorization ⭐ 2,251

Deep learning software for colorizing black and white images with a few clicks.

Deeplearning_tutorials ⭐ 1,216

The deeplearning algorithms implemented by tensorflow

Pytorch Deform Conv ⭐ 866

PyTorch implementation of Deformable Convolution

Image Text Localization Recognition ⭐ 842

A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集シーンテキストの位置認識と識別のための論文リソースの要約

Sparseml ⭐ 771

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

Deeplearning.ai ⭐ 617

deeplearning.ai , By Andrew Ng, All video link

Hands On Reinforcement Learning With Python ⭐ 596

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Fire Detection Cnn ⭐ 376

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)

Predictive Maintenance Using Lstm ⭐ 324

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

Pytorch Tutorials Examples And Books ⭐ 316

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

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

RAD: Reinforcement Learning with Augmented Data

Machine Learning Notebooks ⭐ 241

Machine Learning notebooks for refreshing concepts.

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.

Sparse Evolutionary Artificial Neural Networks ⭐ 187

Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

Seal Ci ⭐ 182

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

Awesome Deep Learning And Machine Learning Questions ⭐ 177

【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题

Numpydl ⭐ 171

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

Mariana ⭐ 151

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

Livianet ⭐ 133

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)

Machine Learning Algorithms ⭐ 107

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

Hyperdensenet ⭐ 106

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Petridishnn ⭐ 106

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

Sparsezoo ⭐ 96

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

Reinforcement Learning ⭐ 95

🤖 Implements of Reinforcement Learning algorithms.

Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

Dcgan Oreilly ⭐ 84

Notebook for O'Reilly's "Deep Convolutional Generative Adversarial Networks"

Jama16 Retina Replication ⭐ 75

JAMA 2016; 316(22) Replication Study

Artificial Intelligence And Machine Learning ⭐ 72

A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm

360sd Net ⭐ 68

Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"

Pytorch In Real Life ⭐ 60

Contains real-life example that can be solved by pytorch

Deep Learning ⭐ 59

Study and implementation about deep learning models, architectures, applications and frameworks

Hands On Deep Learning Algorithms With Python ⭐ 53

Hands-On Deep Learning Algorithms with Python, By Packt

Learned_indices ⭐ 53

A C++11 implementation of the B-Tree part of "The Case for Learned Index Structures"

Deeplearning ⭐ 50

This repository will contain the example detailed codes of Tensorflow and Keras, This repository will be useful for Deep Learning staters who find difficult to understand the example codes

Various cognitive api for machine learning, vision, language intent alalysis. Covers traditional as well as deep learning model design and training.

Datascience Mashup ⭐ 25

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

Contains demo codes for the course Applied Natural Language Processing

Super Resolution Srdpns Tensorflow ⭐ 22

My implementaion of super-resolution based on dual-path networks. It can be used directly to reconstruct your low-resolution image to high-resolution. Also, you can use your dataset to train your networks

Minimalistic Multiple Layer Neural Network From Scratch In Python ⭐ 21

Minimalistic Multiple Layer Neural Network from Scratch in Python.

Shinnosuke ⭐ 20

A keras-like API deep learning framework,realized by Numpy only.Support CNN, RNN, LSTM, Dense, etc.

Deep Learning ⭐ 19

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

This is the repo for an open project named detecting human object interactions in real-time

"Arbitrary Style Transfer with Style-Attentional Networks" (CVPR 2019)

Course Notes Deep Learning By Andrew Ng On Coursera ⭐ 15

Hand Written course notes of Deep Learning Specialization by Andrew NG on Coursera

Amp Regularizer ⭐ 15

Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021

Deep Blueberry ⭐ 14

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Deep Learning ⭐ 14

Implementation of Deep Learning Algorithms using Keras Library

Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks

Deep Learning Algorithms Implementation ⭐ 11

Implementations of (Deep Learning + Machine Learning) Algorithms

Deep.learning.diabetic.retinopathy ⭐ 10

Simplified version implementation of "Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs"

Neural Networks Templates Library

This repository contains Sentiment Classification, Word Level Text Generation, Character Level Text Generation and other important codes/notes on NLP. Python and Keras are used for implementation.

Deep Reinforcement Learning Aap ⭐ 9

DeepAir Solutions : Price recommendations for ancillary facilities for airline using deep reinforcement learning. AAP refers to Airline Ancillary Pricing.

NASA CAMS (Camera for All Sky Surveillance) Meteor Shower Portal by SpaceML

Deeplearning Codelab ⭐ 8

DevFest Nantes 2017, The Deep Learning Codelab Repository. Presented on October the 19th from 4:20pm to 6:20pm.

Csci599 Deeplearning ⭐ 8

Sota Vision ⭐ 8

Implementation of various state of the art architectures used in computer vision.

A reasonable lyric generator, using GANs

Flying Ml Dl Ai ⭐ 7

Just to keep track of nice blog posts and new announcements related to machine learning, deep learning and artificial intelligence

Autoencoder ⭐ 7

Simple Implementation of AutoEncoder, one type of deep learning algorithm. This is implemented based on Tensorflow.

Machinelearning ⭐ 7

CS446: Machine Learning in Spring 2018, UIUC

Deep Learning ⭐ 7

Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on artificial neural networks. Learning can be supervised, semi-supervised or unsupervised. Deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and convolutional neural networks have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics, drug design, medical image analysis, material inspection and board game programs, where they have produced results comparable to and in some cases superior to human experts.

Trackjectory ⭐ 7

Tracking and Trajectory Prediction

Basic Machine Learning Algorithms ⭐ 7

机器学习常用算法、Machine Learning、Deep Learning

R_selflearning ⭐ 6

Developing self learning robot

Openai Universe Agents ⭐ 6

Deep reinforcement learning agents for OpenAI universe environments

Deep Learning Book Notes ⭐ 6

Notes of deep learning book by Ian Goodfellow and Yoshua Bengio and Aaron Courville

Deep_learning_manit ⭐ 5

This repo contains the code of Deep Learning Lab taught at NIT Bhopal (Winter 2k21) M.tech.(AI) https://sites.google.com/view/vsemwal/research/human-activities-gait-data-set

Deep Learning Distilled ⭐ 5

Notes on some important deep learning topics and paper summaries

Deeplearning ⭐ 5

Exercises that I wrote to supplement the Deep Learning (Goodfellow et al.) textbook during my read-through.

Map of Artificial Intelligence: Classifications, Approaches, Algorithms, Libraries, Tools, State of Art Studies, Awesome Repos, etc..

Data Analysis ⭐ 4

Data Analysis Utilities (from Statistics to Machine Learning)

CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning

Pytorchcrf ⭐ 4

A work-in-progress repository to develop a stand-alone lightweight CRF Layer in Pytorch

Pepe Nude Colab ⭐ 4

Google colab scene

Nlp Done Right ⭐ 3

Common Libraries developed in "PyTorch" for different NLP tasks. Sentiment Analysis, NER, LSTM-CRF, CRF, Semantic Parsing

Cyber Ml Dl 101 ⭐ 3

Repository of all notebooks used in workshop at NII.

Stock Price Prediction Lstm ⭐ 3

In this project, I have tried to predict the stock price of Microsoft using LSTM

Xor Gate With Neural Network Using Numpy ⭐ 3

XOR gate which predicts the output using Neural Network 🔥

Deeplearning.ai ⭐ 3

This is my assignment on Andrew Ng's special course "Deep Learning Specialization" This course consists of five courses: Neural Networks and Deep Learning Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization Structuring Machine Learning Projects Convolutional Neural Networks Sequence Models

Credit Card Fraud Detection ⭐ 3

System to tell apart the transaction was from the real user who owns the credit card or the transaction was from the stolen credit card.

Deep Learning of Transformed Features for Non-image-like Classification. This project is a spin-off of

Reinforcement Learning ⭐ 3

reinforcement learning algorithms implemented in pytorch

Deep Learning Project ⭐ 2

Deep learning WorkSpace

Deep Learning Algorithms ⭐ 2

Implementation of all basic algorithms needed in Deep Learning

Computer Vision Machine Learning ⭐ 2

Goal: The aim of this Research Project is to solving Real World Complex Problems Using Machine Intelligence. Artificial Intelligence has various applications in today's society. It is becoming essential for today's time because it can solve complex problems with an efficient way in multiple industries, such as Healthcare, entertainment, finance, education, Space Industry , Agriculture etc. AI is making our daily life more comfortable and fast.

Galaxy Classifier ⭐ 2

A image classifier that classifies whether a galaxy is spiral, elliptical, or irregular. Built using Tensorflow v2 and Google's inception v3 model.

Barebonesai ⭐ 2

Machine Learning and Deep Learning algorithms built from scratch

Deep Learning Specialization ⭐ 2

deeplearning.ai Course

Open Source C++ Library for Pseudo-inverse Fully Connected Recurrent Neural Networks (from my PhD)

Covid 19 Analysis ⭐ 2

Covid-19 India's statewide analysis with census data 2011 and Kaggle data

Machine Learning A To Z ⭐ 2

Machine Learning A-Z (Udemy)

Financial_market ⭐ 2

Ilustração de como podem ser construídos diversos indicadores técnicos utilizados no mercado financeiro para criação de estratégias de trading usando machine learning e deep learning.

Idcbreastcancer_histopathologyimages_deepresiduallearning ⭐ 2

IDC prediction in breast cancer histopathology images using deep residual learning with an accuracy of 99.37% in a subset of images containing a total of 7,500 microscopic images.

Deep Learning ⭐ 2

Beginners code for Neural Networks

CAPTCHA project for Machine Learning Course https://arxiv.org/pdf/2006.11373.pdf

1-100 of 148 projects

Advertising 📦 9

Application Programming Interfaces 📦 120

Applications 📦 181

Artificial Intelligence 📦 72

Blockchain 📦 70

Build Tools 📦 111

Cloud Computing 📦 79

Code Quality 📦 28

Collaboration 📦 30

Command Line Interface 📦 48

Community 📦 81

Companies 📦 60

Compilers 📦 60

Computer Science 📦 74

Configuration Management 📦 39

Content Management 📦 167

Control Flow 📦 197

Data Formats 📦 77

Data Processing 📦 266

Data Storage 📦 132

Economics 📦 60

Frameworks 📦 198

Graphics 📦 103

Hardware 📦 148

Integrated Development Environments 📦 47

Learning Resources 📦 147

Libraries 📦 119

Lists Of Projects 📦 21

Machine Learning 📦 336

Mapping 📦 61

Marketing 📦 15

Mathematics 📦 55

Messaging 📦 97

Networking 📦 304

Operating Systems 📦 84

Operations 📦 120

Package Managers 📦 52

Programming Languages 📦 229

Runtime Environments 📦 96

Science 📦 42

Security 📦 375

Social Media 📦 26

Software Architecture 📦 70

Software Development 📦 68

Software Performance 📦 57

Software Quality 📦 127

Text Editors 📦 45

Text Processing 📦 131

User Interface 📦 310

User Interface Components 📦 465

Version Control 📦 29

Virtualization 📦 68

Web Browsers 📦 38

Web Servers 📦 25

Web User Interface 📦 194

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