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A curated list of awesome Machine Learning frameworks, libraries and software.
Big Data Specialization on Courserafrom University of California San Diego
🍚 Stanford CS224n: Natural Language Processing with Deep Learning
React App for the Neo4j Applied Data Science Course
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
A collection of scientific methods, processes, algorithms, and systems to build stories & models. This roadmap contains 16 Chapters, whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI
Jupyter notebooks showing how to use Neo4j Graph Algorithms
Hands-on Exploratory Data Analysis with Python, published by Packt
A Python implementation of LightFM, a hybrid recommendation algorithm.
Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.
Notebooks for the ML Link Prediction Course
Machine Learning Procedures and Functions for Neo4j
Machine Learning algorithm implementations from scratch.
Free MLOps course from DataTalks.Club
Natural Language Processing Tutorials(NLP) with Julia and Python
NetworkX API for Neo4j Graph Algorithms.
Material for the pandas tutorial at EuroScipy 2016
Production Data Science: a workflow for collaborative data science aimed at production
Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
This is a sample code that shows how to scale training multiple models in the same custom container and deploy multiple models in the same endpoint
Seamlessly integrate powerful language models like ChatGPT into scikit-learn for enhanced text analysis tasks.
Transformers made simple with training, evaluation, and prediction possible with one line each. Currently supports Sequence Classification (binary, multiclass, multilabel, sentence pair), Token Classification (NER), Question Answering, and Regression tasks. Built on top of the Hugging Face Transformer library.
Mirror of Apache Spark
Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations
Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud
Datasets, scripts, queries, etc. to showcase Vertica. Many of these can be used with the vertica-toolbox Docker container.
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.