Stars
Library that contains implementations of machine learning components in the hyperbolic space
XAI - An eXplainability toolbox for machine learning
This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.
A python library for eXplainable Reinforcement Learning (XRL) based on the concept of interestingness elements.
This is a fully functioning Binance trading bot that measures the volatility of every coin on Binance and places trades with the highest gaining coins If you like this project consider donating tho…
Riemannian Adaptive Optimization Methods with pytorch optim
Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
Fine-grained Sentiment Classification Using BERT
Reinforced Recommendation toolkit built around pytorch 1.7
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Code for visualizing the loss landscape of neural nets
🔥 [CVPR 2020] STEFANN: Scene Text Editor using Font Adaptive Neural Network (official code).
A collection of data structures implemented in Go
GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
Automatically generate Go (golang) struct definitions from example JSON
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
The repository for the YouTube series JustForFunc
Exemplary, annotated machine learning pipeline for any tabular data problem.
A repository binding together everything needed for DeepRacer local.
A sample project to run a tiny yolo v2 with face detection in Go