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Tensors and Dynamic neural networks in Python with strong GPU acceleration
The original local LLM interface. Text, vision, tool-calling, training, and more. 100% offline.
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 on Tabular, Text, and Image Data
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
An optimizer that trains as fast as Adam and as good as SGD.
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.
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
Starter kit for new players of Terminal. Contains starter-algo and a basic CLI for running/debugging algo's locally.
Train DeepLab for Semantic Image Segmentation
Simple Tensorflow implementation of "Adaptive Gradient Methods with Dynamic Bound of Learning Rate" (ICLR 2019)