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Tensors and Dynamic neural networks in Python with strong GPU acceleration
The definitive Web UI for local AI, with powerful features and easy setup.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
PyTorch implementations of Generative Adversarial Networks.
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
An optimizer that trains as fast as Adam and as good as SGD.
LSTM and QRNN Language Model Toolkit for PyTorch
NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
FinRL®-Meta: Dynamic datasets and market environments for FinRL.
PyTorch for Semantic Segmentation
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
A PyTorch toolkit for 2D Human Pose Estimation.
PyTorch re-implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC datasets
Python implementations of contextual bandits algorithms
DeepLab resnet v2 model in pytorch
PyTorch implementation of PSPNet segmentation network
Pytorch code for semantic segmentation using ERFNet
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)
A short tutorial on performing fine tuning or transfer learning in PyTorch.
PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017