2128 Open source projects that are alternatives of or similar to Curl

RAD: Reinforcement Learning with Augmented Data

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

GPU Javascript Library for Machine Learning

deeplearning.ai , By Andrew Ng, All video link

Implementations of Reinforcement Learning Models in Tensorflow

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...

Minimal and Clean Reinforcement Learning Examples

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

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

Grokking Deep Reinforcement Learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

🤖 Implements of Reinforcement Learning algorithms.

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

StarCraft II - pysc2 Deep Reinforcement Learning Examples

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

A reinforcement learning package for Julia

🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign

playing idealized trading games with deep reinforcement learning

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

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

A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

High-level Deep Learning Framework written in Kotlin and inspired by Keras

Machine Learning notebooks for refreshing concepts.

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

HDLTex: Hierarchical Deep Learning for Text Classification

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learni…

This is a repository for an nocode object detection inference API using the Yolov3 and Yolov4 Darknet framework.

Deep Q-learning for playing tetris game

ClearML Agent - ML-Ops made easy. ML-Ops scheduler & orchestration solution

Deep Reinforcement Learning Pong Agent, King Pong, he's the best

A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment

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!

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.

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).

A Simply Example to show how to use Keras model in multiple processes to do the prediction

"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

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

No description or website provided.

DrQ: Data regularized Q

RLgraph: Modular computation graphs for deep reinforcement learning

This is a repository for an object detection inference API using the Tensorflow framework.

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

Tensorforce: a TensorFlow library for applied reinforcement learning

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

Deep Q-Learning Network in pytorch (not actively maintained)

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

A fast Clojure Tensor & Deep Learning library