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A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
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.
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
An open-source PAM tool alternative to CyberArk. 广受欢迎的开源堡垒机。
✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
TensorRT+YOLO系列的 多路 多卡 多实例 并行视频分析处理案例
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end…
face detection face recognition包含人脸检测(retinaface,yolov5face,yolov7face,yolov8face),人脸检测跟踪(ByteTracker)，人脸角度计算（Face_Angle）人脸矫正(Face_Aligner)，人脸识别(Arcface)，口罩检测(MaskRecognitiion)，年龄性别检测(Gender_age)，静…
NVIDIA DeepStream SDK 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.
Papers from the computer science community to read and discuss.
Making large AI models cheaper, faster and more accessible
Torchreid: Deep learning person re-identification in PyTorch.
C++ library based on tensorrt integration
专为程序员编写的英语学习指南 v1.2。在线版本请点 ->
♾ A Graph Visualization Framework in JavaScript.
This repository is mainly combined with OpenCV4 (C++ version) to implement some basic image processing operations, classical machine learning algorithms (such as K-Means, KNN, SVM, decision trees, …
A collection of pre-trained, state-of-the-art models in the ONNX format
Visualizer for neural network, deep learning and machine learning models
The use examples of tensorboard on pytorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++