bharatdadwaria Goto Github PK

100_days_of_ml_code

These are the instructions for "100 Days of ML Code" By Siraj Raval on Youtube

a-real-time-object-recongnition-using-yolov3

YOLOv3 (2018) is the one of the path breaking research followed by YOLOv4 (2020) in the field of Computer Vision and Artificial Intelligence. This model can be helpful and useful in many research or industrial fields to make a change in the society.

ai-basketball-analysis

:basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.

arp_spoofing

This repository will focus on my minor project ARP Spoofing and mitm attack report

awesome-autonomous-driving

awesome-carla

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

awesome-cheatsheet

:beers: awesome cheatsheet

awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

basics

📚 Learn ML with clean code, simplified math and illustrative visuals. As you learn, work on interesting projects and share them on https://madewithml.com for the community to discover and learn from!

bharatdadwaria

bharatdadwaria.github.io

Its my github page

coding-exercises

My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.

computer_vision

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

cs-video-courses

List of Computer Science courses with video lectures.

cs373-programming-a-robotic-car

Udacity Class CS373

csml_notes

UCL MSc Computational Statistics and Machine Learning Revision Notes

deep-learning-for-tracking-and-detection

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

deep-learning-warmup

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearningroadidentification

This is the repository for NYU Deep learning, spring 2020, Dr Yann Le Cunn.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

how-to-contribute-to-open-source

A guide to contributing to open source

how_to_simulate_a_self_driving_car

This is the code for "How to Simulate a Self-Driving Car" by Siraj Raval on Youtube

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.

machine-learning-warmingup

mastering-computer-vision-with-tensorflow-2.0

Mastering Computer Vision with TensorFlow 2.0, published by Packt

movie-recommendetion

multi-object-tracking-for-mobile-robotics-using-deepsort

nucleus-segmentation-using-deep-neural-network