Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control VS ALAE

Compare Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control vs ALAE and see what are their differences.

Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control

Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments (by SimonRennotte)
reinforcement-learning Pytorch pytorch-implementation gpytorch gaussian-processes model-predictive-control model-based-reinforcement-learning Paper control-animation uncertainty
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ALAE

[CVPR2020] Adversarial Latent Autoencoders (by podgorskiy)
generative-adversarial-network Deep Learning autoencoder ffhq celeba celeba-hq Stylegan alae neural-network generative-model Gan face-generation Pytorch pytorch-implementation Python Paper paper-implementations cvpr2020 Computer Vision Machine Learning
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Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control ALAE
2 1
114 3,494
- -
4.5 0.0
12 months ago over 3 years ago
Python Python
MIT License -
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Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control

Posts with mentions or reviews of Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control. We have used some of these posts to build our list of alternatives and similar projects.

ALAE

Posts with mentions or reviews of ALAE. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control and ALAE you can also consider the following projects:

stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

jukebox - Code for the paper "Jukebox: A Generative Model for Music"

Machine-Learning-Collection - A resource for learning about Machine learning & Deep Learning

dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

ProSelfLC-AT - noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.

simsiam-cifar10 - Code to train the SimSiam model on cifar10 using PyTorch

Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline

generative-inpainting-pytorch - A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

lightweight-gan - Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

denoising-diffusion-pytorch - Implementation of Denoising Diffusion Probabilistic Model in Pytorch

torch-metrics - Metrics for model evaluation in pytorch

Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control vs stable-baselines3 ALAE vs jukebox Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control vs Machine-Learning-Collection ALAE vs dnn_from_scratch Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control vs ProSelfLC-AT ALAE vs simsiam-cifar10 Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control vs Robo-Semantic-Segmentation ALAE vs generative-inpainting-pytorch Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control vs d2l-en ALAE vs lightweight-gan ALAE vs denoising-diffusion-pytorch ALAE vs torch-metrics