Machine Learning in Finance: From Theory to Practice Book

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Tensorflow implementation of Amazon DeepAR

Attributing predictions made by the Inception network using the Integrated Gradients method

A game theoretic approach to explain the output of any machine learning model.

Master Thesis: Limit order placement with Reinforcement Learning

Visualizing RNNs using the attention mechanism

Collection of reinforcement learning algorithms

A course in reinforcement learning in the wild

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

VIP cheatsheets for Stanford's CS 230 Deep Learning

Phased LSTM

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

Keras implementations of Generative Adversarial Networks.

The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Rec…

AutoML library for deep learning

Progressive Growing of GANs for Improved Quality, Stability, and Variation

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

DeepDSL is a domain specific language (DSL) embedded in Scala for writing deep learning network applications.

80 TFlops

Neural network visualization toolkit for keras

A library for training and deploying machine learning models on Amazon SageMaker

💬 Slides and supplementary codes for my talk 'Debugging Tips on TensorFlow' (2016)

Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Caffe: a fast open framework for deep learning.

DeepLab-ResNet rebuilt in TensorFlow