Python pytorch-implementation

Open-source Python projects categorized as pytorch-implementation | Edit details

Top 10 Python pytorch-implementation Projects

  • ALAE

    [CVPR2020] Adversarial Latent Autoencoders

    Project mention: [D] How do I make a model which takes a bedroom image as input give an output of different design of bedroom related to input image? | reddit.com/r/MachineLearning | 2021-03-27

    source link: https://github.com/podgorskiy/ALAE

  • PyTorch-VAE

    A Collection of Variational Autoencoders (VAE) in PyTorch.

    Project mention: VAEs | reddit.com/r/deeplearning | 2021-08-29

    Face embedding with VAEs https://github.com/AntixK/PyTorch-VAE

  • SonarLint

    Deliver Cleaner and Safer Code - Right in Your IDE of Choice!. SonarLint is a free and open source IDE extension that identifies and catches bugs and vulnerabilities as you code, directly in the IDE. Install from your favorite IDE marketplace today.

  • Machine-Learning-Collection

    A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

    Project mention: Project to prettify music notes | reddit.com/r/learnmachinelearning | 2021-09-20

    I followed a tutorial to do a pix2pix GAN network here: https://www.youtube.com/watch?v=SuddDSqGRzg, and the github.

  • medicaldetectiontoolkit

    The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

    Project mention: 3D rcnn | reddit.com/r/computervision | 2021-09-07

    Checkout https://github.com/MIC-DKFZ/medicaldetectiontoolkit, they have a recent 3d rcnn implementation. Their paper is a good start on the topic. Also have a look at nnDetection from the same group, it might provide some more leads. Hth

  • 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.

    Project mention: [P] Open-sourcing DeepMind's DQN (call for contribution, I plan to make it the go-to RL resource eventually! <3) | reddit.com/r/MachineLearning | 2021-05-09
  • torch-metrics

    Metrics for model evaluation in pytorch

    Project mention: Torch Metrics Library | news.ycombinator.com | 2021-03-13
  • 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

    Project mention: MPC with Gaussian processes for data-efficient reinforcement learning | news.ycombinator.com | 2021-07-23
  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

  • 3d-multi-resolution-rcnn

    Official PyTorch implementaiton of the paper "3D Instance Segmentation Framework for Cerebral Microbleeds using 3D Multi-Resolution R-CNN."

    Project mention: 3D rcnn | reddit.com/r/computervision | 2021-09-07

    Is this what you're looking for: https://github.com/arthur801031/3d-multi-resolution-rcnn

  • Amortized-SVGD-GAN

    Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning

    Project mention: A way to draw samples from a continuous multidimensional probability distribution using Amortized Stein Variational Gradient Descent | reddit.com/r/robotics | 2021-05-31

    My Github repo: https://github.com/mokeddembillel/Amortized-SVGD-GAN

  • Robo-Semantic-Segmentation

    Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline

    Project mention: Where do I even start? Image segmentation. | reddit.com/r/learnprogramming | 2021-01-27

    Hi, you can look at this https://github.com/The-ML-Hero/Robo-Semantic-Segmentation/ which is my GitHub repo. This repo is all about segmentation specifically semantic segmentation, I have a couple of questions where did you get the dataset? and do you have the dataset ready?. But before you use the code be sure to understand the workings of semantic image segmentation architectures. The repo is implemented in Pytorch which is in the python language.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2021-09-20.

Python pytorch-implementation related posts

Index

What are some of the best open-source pytorch-implementation projects in Python? This list will help you:

Project Stars
1 ALAE 3,201
2 PyTorch-VAE 2,841
3 Machine-Learning-Collection 2,830
4 medicaldetectiontoolkit 1,079
5 pytorch-learn-reinforcement-learning 102
6 torch-metrics 98
7 Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control 55
8 3d-multi-resolution-rcnn 9
9 Amortized-SVGD-GAN 5
10 Robo-Semantic-Segmentation 0
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