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solution of exercises of the book "probabilistic robotics"
👨💻 Hack the Truck! 🚚
Latex code for making neural networks diagrams
Neural Networks: Zero to Hero
Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative vel…
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
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.
Master programming by recreating your favorite technologies from scratch.
TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.
Useful links of different content related to AI, Computer Vision, and Robotics.
Object Detection and Multi-Object Tracking
Approaching (Almost) Any Machine Learning Problem
Python sample codes for robotics algorithms.
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
500 AI Machine learning Deep learning Computer vision NLP Projects with code
This is Andrew NG Coursera Handwritten Notes.
Lightweight Python library for adding real-time multi-object tracking to any detector.
Code Repository for The Kaggle Book, Published by Packt Publishing
Udacity's Robotics Software Engineer Nanodegree Projects
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
By the end of this post, you will learn how to: Train a SOTA YOLOv5 model on your own data. Sparsify the model using SparseML quantization aware training, sparse transfer learning, and one-shot qua…
Detecting and Tracking Objects in real time