vmice's starred repositories
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
sentencepiece
Unsupervised text tokenizer for Neural Network-based text generation.
label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
X-AnyLabeling
Effortless data labeling with AI support from Segment Anything and other awesome models.
batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
diffusion-nbs
Getting started with diffusion
labelImg
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
TextualDegRemoval
[arXiv 2023] Improving Image Restoration through Removing Degradations in Textual Representations
Dependencies
A rewrite of the old legacy software "depends.exe" in C# for Windows devs to troubleshoot dll load dependencies issues.
pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
filebrowser
📂 Web File Browser
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
tflite-micro
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125