70 Open Source Deep Learning Algorithms Software Projects
Free and open source deep learning algorithms code projects including engines, APIs, generators, and tools.
Richzhang Colorization 2814 ⭐
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
Interactive Deep Colorization 2475 ⭐
Deep learning software for colorizing black and white images with a few clicks.
Image Text Localization Recognition 863 ⭐
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
Hands On Reinforcement Learning With Python 717 ⭐
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Pytorch Tutorials Examples And Books 412 ⭐
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
Predictive Maintenance Using Lstm 433 ⭐
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
Fire Detection Cnn 424 ⭐
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)
Mishalaskin Curl 426 ⭐
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
Ladder 245 ⭐
Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.
Awesome Deep Learning And Machine Learning Questions 234 ⭐
Numpydl 196 ⭐
Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.
Seal Ci 187 ⭐
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Sparse Evolutionary Artificial Neural Networks 199 ⭐
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).
Livianet 153 ⭐
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"
Hyperdensenet 132 ⭐
This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
Petridishnn 113 ⭐
Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
Hord 104 ⭐
Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
360sd Net 125 ⭐
Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"
Sahith02 Machine Learning Algorithms 129 ⭐
A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.
Arnaldog12 Deep Learning 77 ⭐
Study and implementation about deep learning models, architectures, applications and frameworks
Learned_indices 66 ⭐
A C++11 implementation of the B-Tree part of "The Case for Learned Index Structures"
Prakritidev Deeplearning 49 ⭐
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
Hands On Deep Learning Algorithms With Python 76 ⭐
Hands-On Deep Learning Algorithms with Python, By Packt
Sia Cog 35 ⭐
Various cognitive api for machine learning, vision, language intent alalysis. Covers traditional as well as deep learning model design and training.
Super Resolution Srdpns Tensorflow 29 ⭐
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 24 ⭐
Minimalistic Multiple Layer Neural Network from Scratch in Python.
Shinnosuke 21 ⭐
A keras-like API deep learning framework,realized by Numpy only.Support CNN, RNN, LSTM, Dense, etc.
Course Notes Deep Learning By Andrew Ng On Coursera 23 ⭐
Hand Written course notes of Deep Learning Specialization by Andrew NG on Coursera
Deep Blueberry 18 ⭐
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!
Hoi Rt 14 ⭐
This is the repo for an open project named detecting human object interactions in real-time
Deep Learning Algorithms Implementation 19 ⭐
Implementations of (Deep Learning + Machine Learning) Algorithms
Cadm 34 ⭐
CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning
Sdpoint 15 ⭐
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
Nirmalsilwal Deep Learning 21 ⭐
It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨💻💥 🚩🌈
Nlp 12 ⭐
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.learning.diabetic.retinopathy 12 ⭐
Simplified version implementation of "Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs"
Algorithmsanddatastructure 556 ⭐
Algorithms And DataStructure Implemented In Python & CPP, Give a Star 🌟If it helps you
Sparseml 797 ⭐
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Digantamisra98 Echo 135 ⭐
Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)
Sparsezoo 100 ⭐
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
Datascience Mashup 34 ⭐
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.
Amp Regularizer 25 ⭐
Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021
Chord Suggester 18 ⭐
ChordSuggester is a computer-aided musical composition system. Given a set of input chors, it suggest the next one. It has been trained using an LSTM Neural Network
Car Parts Segmentation 26 ⭐
Car parts dataset for object detection and semantic segmentation tasks, provided by DSMLR lab, IT-KMITL.
Sharmi1206 Covid 19 Analysis 12 ⭐
Covid-19 India's statewide analysis with census data 2011 and Kaggle data
Sid321axn Stock Price Prediction Lstm 12 ⭐
In this project, I have tried to predict the stock price of Microsoft using LSTM
Reddyprasade Deep Learning 11 ⭐
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.
Aimap 10 ⭐
Map of Artificial Intelligence: Classifications, Approaches, Algorithms, Libraries, Tools, State of Art Studies, Awesome Repos, etc..