Himanchal Chandra's Projects
Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.
Simple Barcode Scanner
Free resources for learning Full Stack Web Development
Limit your phone usage, the unexpected way.
This is the official GitHub repository for ECCV 2020 Workshop paper "Single image dehazing for a variety of haze scenarios using back projected pyramid network"
This is a Reinforcement Learning Game Playing AI for CartPole game
Inferring and Executing Programs for Visual Reasoning
Idea for Codefundo 2019
A Collection on all Jetpack compose UI elements, Layouts, Widgets and Demo screens to see it's potential
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
A collection of computer vision pre-trained models.
A repository to keep track of all the code that I end up writing for my blog posts.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Text recognition (optical character recognition) with deep learning methods.
Hierarchical Object Detection with Deep Reinforcement Learning
A tensorflow implementation of EAST text detector
This is a pytorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector.
PyTorch Re-Implementation of EAST: An Efficient and Accurate Scene Text Detector
A PyTorch implementation of EAST: An Efficient and Accurate Scene Text Detector
Visualizing VGG16 network using Saliency Maps and GradCAM in keras.
📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
This is the repository for the project done by our team for Eyantra Robotics Competition 2018.
🚀✨ Help beginners to contribute to open source projects
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch