Ilya Kibardin's starred repositories
insightface
State-of-the-art 2D and 3D Face Analysis Project
yolact_edge
The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.
ml-hypersim
Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding
One-Shot-Object-Detection
Implementation of One-Shot Object Detection with Co-Attention and Co-Excitation in Pytorch
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
semi-supervised-ImageNet1K-models
Semi-supervised ImageNet1K models
tensor-stream
A library for real-time video stream decoding to CUDA memory
deep-anonymizer
repo for deep anonymization of photos and videos
topcoder-facial-marathon
The Second Place Solution of Topcoder: Neptune - Facial Marathon Match
training_extensions
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
SpaceNet_Off_Nadir_Solutions
Winning algorithms for the SpaceNet 4: Off-Nadir Building Footprint Detection Challenge
kaggle-imaterialist
The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6
insightface-just-works
Insightface face detection and recognition model that just works out of the box.
inplace_abn
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
dsb2018_topcoders
DSB2018 [ods.ai] topcoders
3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125