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Top 20 Python pytorch-implementation Projects
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Project mention: Building an AI Game Bot 🤖Using Imitation Learning and 3D Convolution ResNet | dev.to | 2024-01-02
def compute_mean_std(dataloader): ''' We assume that the images of the dataloader have the same height and width source: https://github.com/aladdinpersson/Machine-Learning-Collection/blob/master/ML/Pytorch/Basics/pytorch_std_mean.py ''' # var[X] = E[X**2] - E[X]**2 channels_sum, channels_sqrd_sum, num_batches = 0, 0, 0 for batch_images, labels in tqdm(dataloader): # (B,H,W,C) batch_images = batch_images.permute(0,3,4,2,1) channels_sum += torch.mean(batch_images, dim=[0, 1, 2, 3]) channels_sqrd_sum += torch.mean(batch_images ** 2, dim=[0, 1, 2,3]) num_batches += 1 mean = channels_sum / num_batches std = (channels_sqrd_sum / num_batches - mean ** 2) ** 0.5 return mean, std compute_mean_std(dataloader)
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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.
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6DRepNet
Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.
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text-to-motion
Official implementation for "Generating Diverse and Natural 3D Human Motions from Texts (CVPR2022)."
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explainable-cnn
📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
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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.
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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
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active_learning
Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training with torch's DDP.
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Ghost-DeblurGAN
This is a lightweight GAN developed for real-time deblurring. The model has a super tiny size and a rapid inference time. The motivation is to boost marker detection in robotic applications, however, you may use it for other applications definitely.
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3d-multi-resolution-rcnn
Official PyTorch implementaiton of the paper "3D Instance Segmentation Framework for Cerebral Microbleeds using 3D Multi-Resolution R-CNN."
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Amortized-SVGD-GAN
Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning
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Transfusion.torch
PyTorch Implementation of Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Project mention: Transfusion: Predict the Next Token and Diffuse Images with One Multimodal Model | news.ycombinator.com | 2024-09-10Doesn't appear to be any weights uploaded anywhere that I can find.
There are the starts of two (non-original-author) public implementations available on Github, but again -- doesn't appear to be any pretrained weights in either.
* https://github.com/lucidrains/transfusion-pytorch
* https://github.com/VachanVY/Transfusion.torch
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Robo-Semantic-Segmentation
Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
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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).
Python pytorch-implementation discussion
Python pytorch-implementation related posts
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Building an AI Game Bot 🤖Using Imitation Learning and 3D Convolution ResNet
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What can be the reasons of BatchNorm working and Dropout not working in YoloV1 Pytorch implementation?
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[D] Is it possible to train the same LLM instance on different users' data?
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How to create a custom parallel corpus for machine translation with recent versions of pytorch and torchtext?
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Help with VAE
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I need help knowing how to improve a CycleGan I am working on.
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Confusions on VAE implementation
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A note from our sponsor - InfluxDB
www.influxdata.com | 20 Sep 2024
Index
What are some of the best open-source pytorch-implementation projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | Machine-Learning-Collection | 7,466 |
| 2 | PyTorch-VAE | 6,469 |
| 3 | manga-image-translator | 5,002 |
| 4 | ALAE | 3,512 |
| 5 | medicaldetectiontoolkit | 1,293 |
| 6 | 6DRepNet | 533 |
| 7 | text-to-motion | 457 |
| 8 | ConvLSTM-PyTorch | 368 |
| 9 | explainable-cnn | 217 |
| 10 | ElasticFace | 158 |
| 11 | pytorch-learn-reinforcement-learning | 148 |
| 12 | Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | 124 |
| 13 | Pix2Seq | 113 |
| 14 | torch-metrics | 110 |
| 15 | active_learning | 53 |
| 16 | Ghost-DeblurGAN | 38 |
| 17 | 3d-multi-resolution-rcnn | 25 |
| 18 | Amortized-SVGD-GAN | 9 |
| 19 | Transfusion.torch | 1 |
| 20 | Robo-Semantic-Segmentation | 0 |
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