689 Open source projects that are alternatives of or similar to tpprl

Summaries of machine learning papers

The code for the SRDQN algorithm to train an agent for the beer game problem

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

Papers from top conferences and journals for event extraction in recent years

Pytorch Implementation of AlexNet

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

My take on a practical implementation of Linformer for Pytorch.

Small library containing various image processing algorithms (+ Python 3 bindings) that has almost no dependencies -- Moved to Gnome's Gitlab

A Mixin and Access Widener mod loader for Spigot/Paper

A curated list of awesome machine learning frameworks, libraries, courses, books and many more.

A curated list of deep learning resources books, courses, papers, libraries, conferences, sample code, and many more.

Reinforcement Learning algorithm's using google-colab

Papers about Root Cause Analysis in MicroService Systems. Reference to Paper Notes: https://dreamhomes.top/

Ape-X DQN & DDPG with pytorch & tensorboard

A collection of AWESOME things about domian adaptation

Dot Grid Paper

Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"

Awesome RL: Papers, Books, Codes, Benchmarks

Modular Tracking Framework

A curated list of GAN & Deepfake papers and repositories.

The Bukkit/Spigot/Paper API implementation for Fabric

Notes and Summaries on ML-related Research Papers (with optional implementations)

Take Paper Mario 64, buff old and new enemies to absurd levels, then rebalance Mario's overpowered strategies, and you've got one of the most difficult hacks of all time: Paper Mario Master Quest. The Discord:

A modern JavaScript development environment for Minecraft.

Deep Learning and deep reinforcement learning research papers and some codes

Nice and flexible template environment for papers written in LaTeX

This is a practical resource that makes it easier to learn about and apply Practical Deep Reinforcement Learning (DRL) https://ibrahimsobh.github.io/Practical-DRL/

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 …

The page of the Ural Federal University course "Reinforcement Learning and Neural Networks"

(AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning

Code for the paper 'A Biologically Inspired Visual Working Memory for Deep Networks'

Papers with code. Sorted by stars. Updated weekly.

Functional Reinforcement Learning in Scala.

Cure53 Browser Security White Paper

工程师的自我修养

awesome grounding: A curated list of research papers in visual grounding

"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

ENet - A Neural Net Architecture for real time Semantic Segmentation

SeqGAN but with more bells and whistles

Code for the paper "Language Models are Unsupervised Multitask Learners"

Deep Reinforcement Learning for Fixed-Wing Flight Control with Deep Q-Network

🚗 the collection of vehicle re-ID papers, datasets. 🚗

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

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

Library containing a lot of useful utility classes for the everyday Java and Spigot/Paper developer.

NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch

about Speech enhancement

2020-2021年计算机视觉综述论文分方向整理

List of various interesting papers

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

A collection of research papers categorized by real-world systems that enact them

Code for the paper "Evolved Policy Gradients"

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

Generative Latent Implicit Conditional Optimization when Learning from Small Sample ICPR 20'

Paper is a fast NoSQL-like storage for Java/Kotlin objects on Android with automatic schema migration support.

Combining deep learning and reinforcement learning.

☔ Deep RL agents with PyTorch☔

Code and real data for "Enhancing Human Learning via Spaced Repetition Optimization", PNAS 2019

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math