99-ml-learning-projects

A list of 99 machine learning projects for anyone interested to learn from coding and building projects

auffusion

Official codes and models of the paper "Auffusion: Leveraging the Power of Diffusion and Large Language Models for Text-to-Audio Generation"

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

bulk-music-downloader

This downloader lets you download a bunch of songs, provided the list of desired songs, in a specified format.

dsbda_codes

fine-tuning-llm-for-sentiment-analysis

firebase-helper

Contains python code that helps in managing firebase services through your local system

githubgraduation-2022

Join the GitHub Graduation Yearbook and "walk the stage" on June 11.

gpt-from-scratch

gqa-csv-using-llama-2

gqa-pdf-using-llama-2

harvard-cs50-crossword

harvard-cs50-degrees

harvard-cs50-heredity

harvard-cs50-knights

harvard-cs50-minesweeper

harvard-cs50-nim

harvard-cs50-pagerank

harvard-cs50-parser

harvard-cs50-questions

harvard-cs50-shopping

harvard-cs50-tictactoe

harvard-cs50-traffic

image-caption-generator

A deep learning model that generates captions based on input images.

ishan-kshirsagar0-7

lp2codes

lp3codes

lp5codes

movie-recommender

Movie Recommender is a Machine Learning / Data Manipulation based project, made using Python. It uses libraries like Pandas, Numpy, NLTK, SciKit Learn, etc. It has two types of Recommenders : A "Simple Movie Recommender", which suggests top movies based on the genre inputted by the user, and also parameters like year of its release, popularity and IMDB's Weighted Rating. The second one is "Content Based Recommender", which suggests movies similar to the movie inputted by the user, and other few parameters such as Cast, Crew, Keywords, Director, etc as well.

nft-card-component-challenge

A beginner level HTML and CSS challenge provided by www.frontendmentor.io