Always sparse. Never dense. But never say never. A 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).

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python deep-learning deep-neural-networks classification scalability artificial-neural-networks evolutionary-algorithms deep-learning-algorithms neuroevolution

Seal Ci

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

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python deep-learning pytorch tensorflow machine-learning-algorithms deep-learning-algorithms

Numpydl

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

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python deep-learning deep-neural-networks deep-learning-tutorial deep-learning-algorithms

Mariana

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

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javascript python deep-learning machine-learning data-science artificial-intelligence deep-neural-networks deeplearning machine-learning-algorithms machinelearning theano artificial-neural-networks deep-learning-algorithms

Livianet

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"

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python deep-learning deep-neural-networks convolutional-neural-networks neural-networks cnn medical-imaging image-segmentation theano convolutional-networks deep-learning-algorithms neuroimaging

Echo

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

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python deep-learning machine-learning pytorch tensorflow computer-vision nlp deep-neural-networks algorithms deeplearning machine-learning-algorithms mathematics gitbook functions deep-learning-algorithms

Hyperdensenet

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

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python deep-learning deep-neural-networks convolutional-neural-networks neural-networks cnn segmentation image-segmentation theano densenet deep-learning-algorithms fcn

Petridishnn

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

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python deep-learning image-classification automl imagenet neural-architecture-search cifar10 deep-learning-algorithms

Deeplearning tutorials

The deeplearning algorithms implemented by tensorflow

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Jupyter Notebook python tensorflow cnn lstm deep-learning-tutorial deep-learning-algorithms sda rbm mlp dbn

Reinforcement Learning

🤖 Implements of Reinforcement Learning algorithms.

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python reinforcement-learning deep-reinforcement-learning papers dqn ddpg deep-learning-algorithms

Hord

Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

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python hyperparameter-optimization deep-learning-algorithms

360sd Net

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

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python deep-learning pytorch computer-vision deep-neural-networks deeplearning deep-learning-algorithms depth

Machine Learning Algorithms

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

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python deep-learning machine-learning tutorial neural-network classification machine-learning-algorithms regression deep-learning-tutorial deep-learning-algorithms implementation

My Journey In The Data Science World

📢 Ready to learn or review your knowledge!

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python jupyter-notebook deep-learning machine-learning data-science deep-neural-networks data-visualization data-analysis big-data kaggle sklearn feature-extraction deep-learning-tutorial eda kaggle-competition deep-learning-algorithms data-cleaning

Deeplearning

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

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python deep-learning keras deep-learning-tutorial deep-learning-algorithms keras-models keras-tutorials

Letslearnai.github.io

Lets Learn AI

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html deep-learning machine-learning tensorflow nlp neural-network artificial-intelligence deep-neural-networks ai machine-learning-algorithms machinelearning nlp-machine-learning tensorflow-tutorials deep-learning-tutorial tensorflow-models tensorflow-examples deep-learning-algorithms

Pytorch Deform Conv

PyTorch implementation of Deformable Convolution

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python deep-learning deep-learning-algorithms

Image Text Localization Recognition

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

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deep-learning machine-learning awesome convolutional-neural-networks ocr text-recognition text-detection deep-learning-algorithms text-extraction

Hands On Reinforcement Learning With Python

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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jupyter-notebook reinforcement-learning deep-reinforcement-learning openai-gym ppo policy-gradient q-learning deep-learning-algorithms deep-q-network trpo

Deeplearning.ai

deeplearning.ai , By Andrew Ng, All video link

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deep-learning artificial-intelligence deep-neural-networks convolutional-neural-networks deeplearning coursera deep-learning-tutorial artificial-neural-networks deep-learning-algorithms andrew-ng

Predictive Maintenance Using Lstm

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

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python deep-learning keras deep-neural-networks lstm timeseries keras-tensorflow lstm-neural-networks deep-learning-algorithms keras-models

Curl

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

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python deep-learning reinforcement-learning deep-neural-networks gpu deeplearning deep-reinforcement-learning curl deep-learning-algorithms deep-q-network

Pytorch Tutorials Examples And Books

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

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python python3 jupyter-notebook deep-learning machine-learning pytorch library neural-network deeplearning numpy slide deep-learning-tutorial deep-learning-algorithms pytorch-tutorials

Fire Detection Cnn

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)

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python deep-learning machine-learning tensorflow computer-vision object-detection deep-neural-networks convolutional-neural-networks convolutional-networks tensorflow-examples deep-learning-algorithms

Rad

RAD: Reinforcement Learning with Augmented Data

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jupyter-notebook deep-learning reinforcement-learning deep-neural-networks deep-reinforcement-learning ppo rl deep-learning-algorithms deep-q-network rad

Minimalistic-Multiple-Layer-Neural-Network-from-Scratch-in-Python

Minimalistic Multiple Layer Neural Network from Scratch in Python.

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python deep-neural-networks deep-learning neural-network regression neural-networks deep-learning-algorithms classification perceptron gradient-descent backpropagation-learning-algorithm backpropagation neural-network-example depplearning

Hands-On-Deep-Learning-Algorithms-with-Python

Hands-On Deep Learning Algorithms with Python, By Packt

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Jupyter Notebook machine-learning deep-learning deep-learning-algorithms rnn-tensorflow cnn-architecture cycle-gan capsule-network few-shot-learning stack-gan tensorflow-2 nadam

Deep-Learning

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

Course-Notes-Deep-Learning-by-Andrew-NG-on-Coursera

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

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machine-learning deep-neural-networks course ai deep-learning coursera artificial-intelligence deep-learning-algorithms artificial-neural-networks coursework coursera-machine-learning andrew-ng coursera-data-science andrew-ng-course

AMP-Regularizer

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

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python machine-learning computer-vision deep-learning neural-network deep-learning-algorithms image-classification regularization cvpr cvpr2021 regularizing-neural-networks

learned indices

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

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C++Jupyter Notebook CMake c machine-learning deep-learning eigen deep-learning-algorithms

Deep-Learning

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

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Jupyter Notebook HTML deep-learning tensorflow keras deep-learning-algorithms tensorboard tflearn

datascience-mashup

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.

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Jupyter Notebook data-science machine-learning deep-neural-networks deep-learning machine-learning-algorithms projects deep-reinforcement-learning deep-learning-algorithms machinelearning deeplearning dwoc2020 datascience-mashup accuracy-models age-detector

NumpyDL

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

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python HTML deep-neural-networks deep-learning deep-learning-algorithms deep-learning-tutorial deep-learning-framework

sia-cog

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

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python c Cuda machine-learning deep-neural-networks web deep-learning machine-learning-algorithms api-client deep-learning-algorithms

SANET

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

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HTML deep-learning-algorithms styletransfer attention-model

sparsezoo

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

deep-blueberry

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!

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machine-learning deep-neural-networks reinforcement-learning computer-vision deep-learning machine-learning-algorithms deep-reinforcement-learning recurrent-neural-networks generative-adversarial-network deep-learning-algorithms convolutional-neural-networks deep-learning-tutorial keras-tensorflow variational-autoencoder pytorch-tutorial long-short-term-memory pytorch-implementation

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