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auto_ml

Automated machine learning for analytics & production

awesome-deep-learning-papers

The most cited deep learning papers

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

cbir

Reverse Image Search Engine

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

concrete_nlp_tutorial

An NLP workshop about concrete solutions to real problems

count-anything

This method uses Segment Anything and CLIP to ground and count any object that matches a custom text prompt, without requiring any point or box annotation.

deeplearningsandbox

Blog related code for

dmtk

Microsoft Distributed Machine Learning Toolkit

experiments-on-large-language-models

This Repository Contains Different Experiments on LLMs with Hugging Face, Open AI, Pinecone, Lang Chain along with SOTA LLMs like GPT-X, LLAMA, BARD

facebook-page-post-scraper

Data scraper for Facebook Pages, and also code accompanying the blog post How to Scrape Data From Facebook Page Posts for Statistical Analysis

featuretools

automated feature engineering

gluon-nlp

NLP made easy

google-images-download

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

grounded-segment-anything

Marrying Grounding DINO with Segment Anything & Stable Diffusion & Tag2Text & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs

h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

interestingpython

Effective codes for common tasks

keras

Deep Learning for humans

machine-learning-specialization

medium-scraper

Code to scrape Medium articles along with meta data

mlbox

MLBox is a powerful Automated Machine Learning python library.

mlflow

nni

An open source AutoML toolkit for neural architecture search and hyper-parameter tuning.

realpython

segment-and-track-anything

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

selenium-friends-scraper

Python code that simulates the activity of crawling Facebook to get friends of friends network without using the API.

social-media-scrapping

Scrapping Youtube and Twitter

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

tango_with_django_19

A beginners guide to web programming with Python / Django 1.9

toxic_comment_classification