Prakash Chilkoti's starred repositories
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
machine_learning_examples
A collection of machine learning examples and tutorials.
Python_ML_Package
Building a package in python - to be used later for deployment
detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
OpenCV-Python-Tutorials-and-Projects
An easy to follow course of OpenCV using Python for beginners.
SSD-pytorch
SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity
Hand_Written
HandWritten is a streamlit application that converts a digital text document to a handwritten document
BHARAT_CODE
Bharat code is an IDE to enable kids in every corner of the country to code in their language.
Best_AI_paper_2020
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
tolkein_text
Neural Network Language Model that generates text based off Lord of the Rings. Built with Pytorch.
CodeExamples
We have put together some examples of different well known machine learning algorithms. This is to make it easier to understand how it looks like when working with machine learning in code. Happy hacking!
pixel2style2pixel
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
data-engineer-roadmap
Roadmap to becoming a data engineer in 2021
Basic-knowledge-requirements-for-cybersecurity-and-hacking
Basic knowledge requirements for cybersecurity and hacking copied from @hackermaderas
awesome-bugbounty-tools
A curated list of various bug bounty tools
Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
Amazing-Feature-Engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Tensorflow-in-practise-Specialization
Four Courses Specialization Tensorflow in practise Specialization
Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Tools to Design or Visualize Architecture of Neural Network
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
Data-Science-Tutorials
Data Science Tutorials
Math-for-Data-Science
Math for Data Science
Tools-in-Data-Science
Videos, Slides, Notebooks, and Papers about some of Important Tools in Data Science
pytorch-yolo-v3
A PyTorch implementation of the YOLO v3 object detection algorithm
YOLO_v3_tutorial_from_scratch
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"