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a-pytorch-tutorial-to-object-detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

coco2yolo

Converts MS COCO to YOLO，given data foramt to COCO and DOTA to COCO

cognitiveportrait

Cognitive Portrait Challenge

competitive_data_science

Материалы по курсу анализу данных

cuda-pytorch-installation-guide

Install Python, Cuda, Pytorch from the new installed ubuntu

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

data_science_resources

Helpful resources for Data Scientists / Machine Learning Engineers

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deepfacelive

Real-time face swap for PC streaming or video calls

face-detection-with-intel-openvino

Face-Detection Application demonstrates how to create a smart video IoT solution using Intel® hardware and software tools(OPENVINO). The app will detect faces of people in a designated area.

face_recognition

The world's simplest facial recognition api for Python and the command line

faced

🚀 😏 Near Real Time CPU Face detection using deep learning

hrnet-semantic-segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

knowledge-distillation-for-unet

An implementation of Knowledge distillation for segmentation, to train a small (student) UNet from a larger (teacher) UNet thereby reducing the size of the network while achieving performance similar to the heavier model.

learnopencv

Learn OpenCV : C++ and Python Examples

machine-learning-collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

machine-learning-design-primer

Learn how to design Machine Learning systems and prepare for an interview.

mk-antispoofing

Silent-Face-Anti-Spoofing

mlops_study

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

mobile-deeplab-v3-plus

Deeplab-V3+ model with MobilenetV2/MobilenetV3 on TensorFlow for mobile deployment.

multiclass-semantic-segmentation

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch; Multi-GPU]

open-metric-learning

Library for metric learning pipelines

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

rotated-object-detection

Tiny ResNet inspired FPN network (<2M params) for Rotated Object Detection using 5-parameter Modulated Rotation Loss

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API