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awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

badcustomerdetector

bigdata-coursera

Big Data Specialization on Courserafrom University of California San Diego

cs224n_nlp

🍚 Stanford CS224n: Natural Language Processing with Deep Learning

data-science-course-react-app

React App for the Neo4j Applied Data Science Course

data-science-ipython-notebooks

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.

god-level-data-science-ml-full-stack

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

graph-algorithms-notebooks

Jupyter notebooks showing how to use Neo4j Graph Algorithms

hands-on-exploratory-data-analysis-with-python

Hands-on Exploratory Data Analysis with Python, published by Packt

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

ludwig

Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.

ml-link-prediction-notebooks

Notebooks for the ML Link Prediction Course

ml-models

Machine Learning Procedures and Functions for Neo4j

mlfromscratch

Machine Learning algorithm implementations from scratch.

mlops-zoomcamp

Free MLOps course from DataTalks.Club

name_matching

natural-language-processing-tutorials

Natural Language Processing Tutorials(NLP) with Julia and Python

networkx-neo4j

NetworkX API for Neo4j Graph Algorithms.

pandas-tutorial

Material for the pandas tutorial at EuroScipy 2016

personal_project

production-data-science

Production Data Science: a workflow for collaborative data science aimed at production

professional-services

Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.

sagemaker-multi-models_endpoint

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

scikit-llm

Seamlessly integrate powerful language models like ChatGPT into scikit-learn for enhanced text analysis tasks.

simpletransformers

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.

spark

Mirror of Apache Spark

testiod

vertex-ai-mlops

Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations

vertex-ai-samples

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

vertica-examples

Datasets, scripts, queries, etc. to showcase Vertica. Many of these can be used with the vertica-toolbox Docker container.