monishbhatia496 Goto Github PK
Name: Monish Bhatia
Type: User
Company: National Institute of Technology Hamirpur
Bio: Research Scholar
Location: Hamirpur
Name: Monish Bhatia
Type: User
Company: National Institute of Technology Hamirpur
Bio: Research Scholar
Location: Hamirpur
12 Weeks, 24 Lessons, AI for All!
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
The Official Repository of Deep Learning for Finance
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
TensorFlow implementation of Deep Reinforcement Learning papers
This repository contains implementations and illustrative code to accompany DeepMind publications
Code from the Deep Reinforcement Learning in Action book from Manning, Inc
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Hands-On Graph Neural Networks Using Python
This repository contains all the resources and solution to quizzes given and asked in IBM Data Science Professional Certification.
Assignment
The Official Repository of Mastering Financial Pattern Recognition
Source code accompanying O'Reilly book: Machine Learning Design Patterns
Code for Machine Learning with TensorFlow: 2nd Edition Published by Manning Publications
Modern Computer Vision with PyTorch, published by Packt
Config files for my GitHub profile.
Default Repo description from terraform module
Public GitHub repo for SciPy 2022 tutorial (Introduction to Numerical Computing With NumPy)
Official Python Package for Algorithmic Trading APIs powered by AlgoBulls
Quantum Finance
Source content for the Qiskit Textbook
A collection of Jupyter notebooks showing how to use the Qiskit SDK
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Sionna: An Open-Source Library for Next-Generation Physical Layer Research
Learning materials, Quizzes & Assignment solutions for the entire IBM data science professional certification. Also included, a few resources that I found helpful.
A crash course in six episodes for software developers who want to become machine learning practitioners.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.