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3dearthrenderopengl

Rendering 3D Earth Model with OpenGL

agcounts

Code for the technical report on the ActiLife counts algorithm.

alist

🗂️A file list program that supports multiple storage, powered by Gin and Solidjs. / 一个支持多存储的文件列表程序，使用 Gin 和 Solidjs。

alphapose

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

awesome-embedded

A curated list of awesome embedded programming.

awesome-wechat-weapp

微信小程序开发资源汇总 :100:

book

Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）

bringing-old-photos-back-to-life

Bringing Old Photo Back to Life (CVPR 2020 oral)

chappie-ii

Update of Chappie-Core

cmake-examples

Useful CMake Examples

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

cvpr2021-paper-code-interpretation

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

deeplearning-startkit

这个仓库是用来设置你的 Python 环境和深度学习框架环境

densepose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

developer-books

编程开发相关书籍整理分享，持续更新...

dgcnn

distributed_tutorial

dl-for-har

Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the International Symposium on Wearable Computers 21' (ISWC 21')

faster-whisper-gui

faster_whisper GUI with PySide6

frp

A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.

glitter

Dead Simple OpenGL

graph-transformer

Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

human-activity-recognition-lstm-cnn

Human Activity Recognition using LSTM-CNN model on raw data set.

human-activity-recognition-using-lstms-opportunity-uci-dataset-

imu-study

对常见IMU芯片的原理、驱动和数据融合算法整理，以区分某度、某坛上面碎片化严重到影响入坑的乱象

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.