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A curated index to track AI-powered products.
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
This is Andrew NG Coursera Handwritten Notes.
This is collection of Feature Extraction for Audio. Please Create the pull request if you find more framework like this please add.
A curated list for awesome kubernetes sources :ship::tada:
A guide to improve your research proposals.
Leveraging BERT and a class-based TF-IDF to create easily interpretable topics.
Implementation of the paper "Language-agnostic representation learning of source code from structure and context".
Text Similarity Search Application using Modern NLP and Elasticsearch
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
➕Contains useful deep learning notations for writing blogs, presentations, and papers.
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai
An opinionated guide on how to become a professional Web/Mobile App Developer.
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022
Dense Passage Retriever - is a set of tools and models for open domain Q&A task.
DSPy: The framework for programming—not prompting—foundation models
Facial Expression Recognization using JAFFE
⚡️ Front End interview preparation materials for busy engineers
🟠 A study guide to learn about Graph Neural Networks (GNNs)
links to conference publications in graph-based deep learning
Last Minute Note of Machine learning and Deep learning by Jason Brownlee
Collection of papers and resources on Reasoning in Large Language Models (LLMs), including Chain-of-Thought (CoT), Instruction-Tuning, and others.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
🧮 A collection of resources to learn mathematics for machine learning
🎓 Sharing machine learning course / lecture notes.
:fire: Machine Learning Notebooks
Explanation to key concepts in ML
🔥Highlighting the top ML papers every week.
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
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.