There are no reviews yet. Be the first to send feedback to the community and the maintainers!
face-parsing
๐ค๐ | BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation | In PyTorch > ONNXyolo2voc
๐๐ | YOLO to VOC format <> VOC to YOLO formatpytorch-tutorials
๐ค | Learning PyTorch through official examplesyolov1-pytorch
๐ฆ๐ | YOLOv1 (Real-Time Object Detection) implementation using PyTorchdarknet-pytorch
๐ท | DarkNet19, DarkNet53, DarkNet53-ELASTIC and CSPDarkNet53 Implementation using PyTorchcrack-segmentation
๐ฃ๏ธ๐ | Road crack segmentation using UNet in PyTorch > Implementation of different loss functions (i.e Focal, Dice, Dice + CE)face-reidentification
๐ค๐ | Face re-identification using ArcFace and SCRFD models | ONNXfast-neural-style-transfer
Fast Neural Style Transfer implementation using PyTorchyolov1-resnet
YOLOv1 re-implementation using PyTorch. Backbone is ResNet50.korean-license-plate-generator
๐ | Korean License Plate Generator with YOLO format labelscaptcha-reader-keras
OCR model for reading Captchas using Keras APIdeep-text-recognition
๐ | Deep Text Recognition Implementation using PyTorchunet-pytorch
๐ | UNet implementation using PyTorch | CARVANA Dataset | Car Segmentationeast-pytorch
Reimplementation of "EAST: An Efficient and Accurate Scene Text Detector" using PyTorchgaze-estimation
๐ | MobileGaze: Gaze Estimation models using ResNet 18/34/50, MobileNet v2 and MobileOne s0-s4mobilenetv3-pytorch
PyTorch Implementation of MobileNetV3 large and smallpolyp-segmentation
๐ซ | Polyp Segmentation using PyTorchdcgan-pytorch
DCGAN implementation using PyTorchdeeplabv3-pytorch
Implementation of DeepLabV3 using PyTorchcaptcha-reader-pytorch
Captcha recognition using PyTorchfaceboxes-pytorch
Re-Implementation of "FaceBoxes: A CPU Real-time Face Detector with High Accuracy"head-pose-estimation
๐ค | Head Pose Estimation: Accurate head pose estimation using ResNet 18/34/50 and MobileNet V2 models. Evaluate yaw, pitch, and roll with pre-trained weights for quick integration.yakhyo.github.io
Custom Jekyll minima theme for your blog | portfolio | resume ๐yolov5-license-plate-detection
License plate detection using YOLOv5, ONNX Runtimefacial-analysis
๐ค๐ | Face Detection , Gender and Age, Face Recognition, Facial Landmarksalgorithms-roadmap
Problems by Topics to master Problem Solving (NeetCode Roadmap)yolov5-pytorch
Simplified version of YOLOv5n-x architecture using PyTorchCoding-Practice
Coding practices, algorithmsvideo-classification-pytorch
Video Classification using R(2+1)D based on ResNet18 on UCF-101 dataset. PyTorch Implementation.clovaai-craft
CRAFT-PyTorch official implementation using PyTorchReXNet
RexNet implementation using PyTorch.pytorch-losses
Implementation of various Loss function using PyTorchyolov5-crowdhuman-onnx
Person detection using YOLOv5m, ONNX Runtime. Trained on Crowdhuman dataset.llm-practice
LLM Study with DataTalksClubyakhyo
Use this template if you need a quick ML | DL Engineer resume! Based on a Minimal Jekyll theme for GitHub Pages.Love Open Source and this site? Check out how you can help us