mld's starred repositories

Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

Language:Jupyter NotebookLicense:MITStargazers:12145Issues:805Issues:55

awesome-django

A curated list of awesome things related to Django

Language:HTMLLicense:CC0-1.0Stargazers:8645Issues:236Issues:42

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

Language:PythonLicense:AGPL-3.0Stargazers:7938Issues:286Issues:22

ecoute

Ecoute is a live transcription tool that provides real-time transcripts for both the user's microphone input (You) and the user's speakers output (Speaker) in a textbox. It also generates a suggested response using OpenAI's GPT-3.5 for the user to say based on the live transcription of the conversation.

Language:PythonLicense:MITStargazers:5619Issues:70Issues:159

awesome-generative-ai

A curated list of modern Generative Artificial Intelligence projects and services

learning-notes

Notes on books I read, talks I watch, articles I study, and papers I love

Awesome-Black-Friday-Cyber-Monday

Awesome deals on Black Friday: Apps, SaaS, Books, Courses, etc.

Data-Science-Interview-Resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

python-coding-interview

A middle-to-high level open source algorithm book designed with coding interview at heart!

Language:TeXLicense:Apache-2.0Stargazers:2045Issues:114Issues:8

DS-Career-Resources

Compilation of resources for aspiring data scientists

Language:PythonStargazers:1873Issues:56Issues:0

awesome-investing

💸💸 Curated list of investment & finance related resources

CrackingTheSQLInterview

DBMS Concepts, SQL Queries & Schema Design for your Interviews.

mostly-free-resources-for-almost-everyone

A list of mostly free resources for almost anyone.

data-science-road-map

A roadmap for those looking to start or expand a career in the data community

Language:HTMLLicense:MITStargazers:261Issues:9Issues:0

Compendium-of-free-ML-reading-resources

Compendium of free ML reading resources

Machine-Learning-for-High-Risk-Applications-Book

Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications

Language:Jupyter NotebookLicense:MITStargazers:90Issues:6Issues:1

Awesome-Data-Science

Carefully curated list of awesome data science resources.

License:MITStargazers:65Issues:1Issues:0

liveup_web

A web application that enables doctors to track patient prescriptions, avoid redundancy and manual processes.

Language:JavaScriptStargazers:35Issues:1Issues:0

nextjs-flask-framework

In this article, you will learn how to integrate a Flask API project with Next.js and deploy them on Vercel.

Language:TypeScriptStargazers:32Issues:2Issues:0

liveup_api

An API that powers a web application that enables doctors to track patient prescriptions, avoid redundancy and manual processes.

Language:PythonStargazers:30Issues:1Issues:0

fabric8-analytics-server

fabric8-analytics API server

Language:PythonLicense:Apache-2.0Stargazers:16Issues:9Issues:166

fabric8-analytics-npm-insights

This repository contains the code for the model that serves the companion recommendations for NPM

Language:PythonLicense:GPL-3.0Stargazers:3Issues:11Issues:13

fabric8-analytics-deployment

Deployment scripts for fabric8-analytics platform

License:Apache-2.0Stargazers:1Issues:0Issues:0

awesome-django

A curated list of awesome things related to Django

Language:HTMLLicense:CC0-1.0Stargazers:1Issues:2Issues:0

liyin2015

My personal Repository

cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Language:Jupyter NotebookStargazers:1Issues:0Issues:0

Data-Science-ML-Full-Stack-2022

Everything you need to know for data science.

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