ofirshm

AdaptiveSFM

Adaptive State-Frequency Memory Recurrent Neural Network

Adv_Fin_ML_Exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

awesome-architecture-search

A curated list of awesome architecture search resources

awesome-production-machine-learning

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

darts

Differentiable architecture search for convolutional and recurrent networks

CapsGNN

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

ctgan-tf

📊 TensorFlow 2.X implementation of Conditional Tabular Generative Adversarial Network.

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

ENAS-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

free-programming-books

:books: Freely available programming books

Hands-On-Meta-Learning-With-Python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

keras-deep-graph-learning

Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning

mlfinlab

MlFinlab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

mlhep2018-starterkit

Starter kit for MLHEP-18 challenge

n-beats

Pytorch/Keras implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

NeuralTuringMachine

Tensorflow implementation of a Neural Turing Machine

ParlAI

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

Real-Time-Voice-Cloning

Clone a voice in 5 seconds to generate arbitrary speech in real-time

RLTrader

A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym

siamse_nn

spektral

Graph Neural Networks with Keras and Tensorflow.

State-Frequency-Memory-stock-prediction

Stock-Trading-Environment

A custom OpenAI gym environment for simulating stock trades on historical price data.

Stock-Trading-Visualization

A simple, yet elegant visualization of our stock trading RL agent environment.

Stock_Analysis_For_Quant

Different Types of Stock Analysis in Python, R, Matlab, Excel, Power BI

td-ameritrade-python-api

Unofficial Python API client library for TD Ameritrade

Time-series-prediction

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter

Trading-Gym

Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.

trading-gym-1

This trading-gym is the first trading for agent to train with episode of short term trading itself.