798 Open source projects that are alternatives of or similar to mmn

Top 200 deep learning Github repositories sorted by the number of stars.

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)

Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym

Deep Reinforcement Learning based Trading Agent for Bitcoin

Layer-wise Relevance Propagation (LRP) for LSTMs

A Hierarchical State Machine Framework in C++

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Code for "Free-Lunch Saliency via Attention in Atari Agents"

Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

🐵 An AI chess-board-game framework(by many programming languages) implementations.

TensorFlow and Deep Learning Tutorials

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …

A Universal Deep Reinforcement Learning Framework

BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.

Ramudroid, autonomous solar-powered robot to clean roads, realtime object detection and webrtc based streaming

Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients"

Mario AI Ensemble

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning

Data generator for Arena - interactive XAI dashboard

A robot learning from demonstration framework that trains a recurrent neural network for autonomous task execution

Explainable AI for Software Engineering: A Hands-on Guide on How to Make Software Analytics More Practical, Explainable, and Actionable (https://xai4se.github.io)

PyTorch Project Specification.

Live Trading. Please star.

A curated list of resources about Machine Learning for Robotics

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

Finite State Machine in Kotlin

Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)

An Algorithm to Quantify Robustness of Recurrent Neural Networks

Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

A finite-state machine library for the Go programming language

A course on Deep Reinforcement Learning in Computer Vision. Visit Website:

A tiny library make redux state possessed with both finite and infinite states.

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

FLVIz - Finite Automata Simulator written in QT/Graphviz

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)

Sequence Labeling in Tensorflow

针对pytorch模型的自动化模型结构分析和修改工具集，包含自动分析模型结构的模型压缩算法库

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

RNN benchmarks of pytorch, tensorflow and theano

3D RL Volleyball environment built on Unity ML-Agents

Using self-play, MCTS, and a deep neural network to create a hearthstone ai player

Code for DeepCubeA, a Deep Reinforcement Learning algorithm that can learn to solve the Rubik's cube.

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction

A CUDA implementation of the Tsetlin Machine based on bitwise operators

Self driving car in GTAV with Deep Learning

Revisiting Rainbow

Visual Automata is a Python 3 library built as a wrapper for the Automata library to add more visualization features.

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019