rupeshn-colg

dash

Data Apps & Dashboards for Python. No JavaScript Required.

jina

☁️ Build multimodal AI applications with cloud-native stack

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

caprover

Scalable PaaS (automated Docker+nginx) - aka Heroku on Steroids

kedro

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

machine-learning-systems-design

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

metaflow

:rocket: Build and manage real-life ML, AI, and data science projects with ease!

sktime

A unified framework for machine learning with time series

nlp-recipes

Natural Language Processing Best Practices & Examples

hacker-news-undocumented

Some of the hidden norms about Hacker News not otherwise covered in the Guidelines and the FAQ.

HackingNeuralNetworks

A small course on exploiting and defending neural networks

causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

MLOps

MLOps examples

machine-learning-asset-management

Machine Learning in Asset Management (by @firmai)

yake

Single-document unsupervised keyword extraction

textrank

TextRank implementation for Python 3.

BLINK

Entity Linker solution

Veniqa

MEVN Full Stack E-Commerce Solution. Built using MEVN Stack (Node.js, Express.js, Vue.js, MongoDB) with Developer Friendliness and Cloud Integrations in mind. Previously Powered the Veniqa New York Startup. 100% Customizable. For Demos and Documentation, Visit Official Website

rake-nltk

Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.

TextRank

Python implementation of TextRank algorithm for automatic keyword extraction and summarization using Levenshtein distance as relation between text units. This project is based on the paper "TextRank: Bringing Order into Text" by Rada Mihalcea and Paul Tarau. https://web.eecs.umich.edu/~mihalcea/papers/mihalcea.emnlp04.pdf

mlops-on-gcp

academic_advisory

Collected opinions and advice for academic programs focused on data science skills.

theseus_growth

Theseus is a Python library for cohort analysis

Data-Science-Books

Semantic-Search

Semantic search using Transformers and others

pynorama

Natural Language Processing Visualization in Python

hearst_patterns_python

This is an implementation of Hearst patterns, for finding hyponyms, written in Python.

docluster

Open Source NLP Library

git-good

Short summary of git to get a beginner started