LibtorchTutorials VS torchRL

Compare LibtorchTutorials vs torchRL and see what are their differences.

torchRL

TorchRL is a C++ reinforcement library using PyTorch C++ backend LibTorch (by adepierre)
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LibtorchTutorials torchRL
1 1
667 4
- -
0.0 0.0
over 2 years ago almost 2 years ago
C++ C++
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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LibtorchTutorials

Posts with mentions or reviews of LibtorchTutorials. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-23.

torchRL

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

What are some alternatives?

When comparing LibtorchTutorials and torchRL you can also consider the following projects:

SegmentationCpp - A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

yolo-tensorrt - TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.

Drogon-torch-serve - Serve pytorch / torch models using Drogon

muzero-cpp - A C++ pytorch implementation of MuZero

tensorrtx - Implementation of popular deep learning networks with TensorRT network definition API

snakeAI - testing MLP, DQN, PPO, SAC, policy-gradient by snake

open_spiel - OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

vowpal_wabbit - Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.