Explanation to key concepts in ML

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 11 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

Curated list of project-based tutorials

Text-To-Speech, RAG, and LLMs. All local!

GitHub Copilot API

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI

Vistaar: Diverse Benchmarks and Training Sets for Indian Language ASR

A curated list of practical financial machine learning tools and applications.

asr

Course notes for Data Science related topics, prepared in LaTeX

Code repository of ml-without-tears blog: https://mlwithouttears.com/

Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.

FastKAN: Very Fast Calculation of Kolmogorov-Arnold Networks (KAN)

Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.

This repo demonstrates the development of Retrieval Augmented Generation (RAG).

LLM Finetuning with peft

Neural Machine Translation (NMT) tutorial. Data preprocessing, model training, evaluation, and deployment.

Chat with your PDF using AI

Local PDF Chat Application with Mistral 7B LLM, Langchain, Ollama, and Streamlit

Chat with LLMs using PDFs as context! Experimental exploration: FastAPI + Streamlit + Langchain

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

DSA notes of Dr Naveen Garg, IIT Delhi, NPTEL

Running local Language Learning Models to perform Retrieval-Augmented Generation

Natural Language Processing

A bot that accepts PDF docs and lets you ask questions on it.

Natural Language Processing Tutorial for Deep Learning Researchers

A library of common data structures and algorithms written in C.