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Name: Karunanidhi Mishra
Type: User
Bio: Automation Technical Expert, Native-Cloud and Micro-services Practitioner, Data Science and Deep Learning Engineer
Name: Karunanidhi Mishra
Type: User
Bio: Automation Technical Expert, Native-Cloud and Micro-services Practitioner, Data Science and Deep Learning Engineer
Advanced Natural Language Processing with TensorFlow 2, published by Packt
🤖 AgentVerse 🪐 provides a flexible framework that simplifies the process of building custom multi-agent environments for large language models (LLMs).
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
One framework. Mobile & desktop.
Code Repository for Angular 8 - The Complete Guide, published by Packt
Code samples for the second edition of the Angular book
Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ
🔬 A collection for those AI (RL / DL / SL / Evoluation / Genetic Algorithm) used in financial market. otherwise, we add Technology Analysis / Alpha Research / Arbitrage and other useful strategies tools & docs in quantitative finance market.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Quant/Algorithm trading resources with an emphasis on Machine Learning
Reinforcement learning resources curated
Bootstrap 4 – Responsive Web Design, published by Packt
Automate your browser with GPT-4
Building AI Applications with ChatGPT APIs, published by Packt
An open source ChatGPT UI.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
testing dataset
Machine learning datasets used in tutorials on MachineLearningMastery.com
The Leek group guide to data sharing
Deep Learning Specialization by Andrew Ng on Coursera.
Deep Learning Illustrated (2020)
Keras code and weights files for popular deep learning models.
Deep Learning Quick Reference, published by Packt
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
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.