pytorch-learn-reinforcement-learning VS pytorch-GAT

Compare pytorch-learn-reinforcement-learning vs pytorch-GAT and see what are their differences.

pytorch-learn-reinforcement-learning

A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc. (by gordicaleksa)
Python Deep Learning Jupyter Pytorch rl reinforcement-learning reinforcement-learning-algorithms Ppo policy-gradient Dqn pytorch-implementation deep-q-network pytorch-dqn pytorch-policy-gradient pytorch-ppo
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pytorch-GAT

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples! (by gordicaleksa)
gat graph-attention-networks attention-mechanism self-attention Pytorch Python attention pytorch-gat gat-tutorial Deep Learning graph-attention-network pytorch-implementation Jupyter
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pytorch-learn-reinforcement-learning pytorch-GAT
3 14
139 2,222
- -
0.0 0.0
almost 3 years ago over 1 year ago
Python Jupyter Notebook
MIT License MIT License
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pytorch-learn-reinforcement-learning

Posts with mentions or reviews of pytorch-learn-reinforcement-learning. We have used some of these posts to build our list of alternatives and similar projects.

pytorch-GAT

Posts with mentions or reviews of pytorch-GAT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-02.

What are some alternatives?

When comparing pytorch-learn-reinforcement-learning and pytorch-GAT you can also consider the following projects:

Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

pytorch-seq2seq - Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Tetris-deep-Q-learning-pytorch - Deep Q-learning for playing tetris game

gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

tianshou - An elegant PyTorch deep reinforcement learning library.

GAT - Graph Attention Networks (https://arxiv.org/abs/1710.10903)

6DRepNet - Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

Amortized-SVGD-GAN - Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning

CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.

nes-torch - Minimal PyTorch Library for Natural Evolution Strategies

TokenCut - (CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"

pytorch-learn-reinforcement-learning vs Super-mario-bros-PPO-pytorch pytorch-GAT vs pytorch-seq2seq pytorch-learn-reinforcement-learning vs Tetris-deep-Q-learning-pytorch pytorch-GAT vs gan-vae-pretrained-pytorch pytorch-learn-reinforcement-learning vs tianshou pytorch-GAT vs GAT pytorch-learn-reinforcement-learning vs 6DRepNet pytorch-GAT vs ydata-profiling pytorch-learn-reinforcement-learning vs Amortized-SVGD-GAN pytorch-GAT vs CodeSearchNet pytorch-learn-reinforcement-learning vs nes-torch pytorch-GAT vs TokenCut