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

The deeplearning algorithms implemented by tensorflow

PyTorch implementation of Deformable Convolution

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

deeplearning.ai , By Andrew Ng, All video link

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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

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

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

real-time fire detection in video imagery using a convolutonal neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon)

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

【不定期更新中】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

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"

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).

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

Machine Learning notebooks for refreshing concepts.

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

🤖 Implements of Reinforcement Learning algorithms.

Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

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

JAMA 2016; 316(22) Replication Study

Contains projects and related blogs in pytorch

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

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

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

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

360° Stereo Depth Estimation with Learnable Cost Volume