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annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

celebamask-hq

A large-scale face dataset for face parsing, recognition, generation and editing.

computervision

cvzone

This is a Computer vision package that makes its easy to run Image processing and AI functions. At the core it uses OpenCV and Mediapipe libraries.

deeplabv3plus-pytorch

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

expression-net

Deep 3DMM facial expression parameter extraction

extreme_3d_faces

Extreme 3D Face Reconstruction: Looking Past Occlusions

face-alignment

:fire: 2D and 3D Face alignment library build using pytorch

face-parsing.pytorch

Using modified BiSeNet for face parsing in PyTorch

facesynthetics

hyperseg

HyperSeg - Official PyTorch Implementation

lab

[CVPR 2018] Look at Boundary: A Boundary-Aware Face Alignment Algorithm

lapa-dataset

A large-scale dataset for face parsing (AAAI2020)

lightning-bolts

Toolbox of models, callbacks, and datasets for AI/ML researchers.

machine-learning-collection

A resource for learning about Machine learning & Deep Learning

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

pl-sem-seg

PyTorch Lightning based training of Semantic Segmentation models

pythonrobotics

Python sample codes for robotics algorithms.

pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

pytorch-segmentation

:art: Semantic segmentation models, datasets and losses implemented in PyTorch.

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

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.

segmenter

[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation