OSS library that implements deep learning methods for partial differential equations and much more

A curated list of practical financial machine learning tools and applications.

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

This repository contains implementations and illustrative code to accompany DeepMind publications

A demo of the vanishing gradient problem in a simple fully connected network classifying MNIST images.

Conservative Taylor least squares (TLS) function reconstruction

A Python implementation of the rough Bergomi model.

Implementation of recent Deep Learning papers

Time Series Analysis with Python

Algorithmic trading with deep learning experiments

Deep Multi-scale CNN for Dynamic Scene Deblurring

DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

Evaluation of the CNN design choices performance on ImageNet-2012.

🎨 A CNN visualizer

Keras Generative Adversarial Networks

Acapella Extraction with a ConvNet

A curated list of awesome Deep Learning tutorials, projects and communities.

TensorFlow Tutorial for Time Series Prediction

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

Cloned tensorflow serving from https://github.com/tensorflow/serving till rev 18e278e53c23a0704a05cab6bf88ac5cf8b02d53.

Notes and experiments to understand deep learning concepts

Invertible conditional GANs for image editing

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

A composable Generative Adversarial Network(GAN) with API and command line tool.

Awesome paper list with code about generative adversarial nets

Composable GAN framework with api and user interface

Time series classification and clustering code written in Python.