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torch models and primitives for birdseye view and voxel models for self driving tasks.
A PyTorch Library for Multi-Task Learning
Lightest vimrc, while strong enough. 最轻的vim配置，却足够强！
Image-to-Image Translation in PyTorch
手写实现李航《统计学习方法》书中全部算法
Bolt is a deep learning library with high performance and heterogeneous flexibility.
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
This repository contains a program that can run the object detector every few frames and track the bounding boxes with dlib kcf tracker. The purpose is to reduce the computational load and increase…
Image Processing projects with Python and OpenCV
Object Tracker written in Python using dlib and OpenCV
A simple visual tracking interface using Python
Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.
Visualizer for neural network, deep learning and machine learning models
Streamlit — A faster way to build and share data apps.
A curated list of awesome self-supervised methods
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06
This repository is for my YT video series about optimizing a Tensorflow deep learning model using TensorRT. We demonstrate optimizing LeNet-like model and YOLOv3 model, and get 3.7x and 1.5x faster…
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
the implementation of YoloV1 by tensorflow
All the trained models used while developing YOLO-LITE
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.