A paper list of some recent Transformer-based CV works.

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Companion webpage to the book "Mathematics For Machine Learning"

This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with examples. It is simple and easy to implement.

A library of extension and helper modules for Python's data analysis and machine learning libraries.

100 Days of ML Coding

A topic-centric list of HQ open datasets.

科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

Distributed Evolutionary Computation.

A collection of the state-of-the-art MEta-heuristic ALgorithms in PYthon (mealpy)

EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.

A template repository for quickly setting up papers to be submitted to Elsevier Journals

Joint Multi-Object Detection and Tracking with Camera-LiDAR Fusion for Autonomous Driving

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

Event-driven network library for multi-threaded Linux server in C++11

Different meta-heuristic optimization techniques for feature selection/ Data Transformer

Opencv 2D_Feature_Tracking keypoints detector/descriptor/matcher/selector

The Udacity open source self-driving car project

Safety helmet wearing detect dataset, with pretrained model 安全帽

A Keras implementation of YOLOv3 (Tensorflow backend)

A guide on overclocking your NVIDIA GPU in linux

Keypoints Detector(HARRIS, FAST, BRISK, ORB, AKAZE, and SIFT), Patch Descriptor(BRIEF, ORB, FREAK, AKAZE and SIFT)，and Matching(BFmatching, FLANN matching)).

In this repository, I will implement some machine learning algorithms in Python, and show how to use it in a notebook. I feel it interesting and hope you can join me~

Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.