Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Warehouse Drone Theme of eYRC24-25

List of references and online resources related to data science, machine learning and deep learning.

A Repository consisting resources primarily of the Gate DA and AI

A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.

A native PyTorch Library for large model training

Recurrent Neural Network - A curated list of resources dedicated to RNN

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Utilities for the HuggingFace transformers library

The project is to build a GPT-2 small model in Python using PyTorch without pre-built libraries, focusing on key features like embeddings, self-attention, and transformer layers, and to validate it…

A curated list of the most impressive AI papers

🔥Highlighting the top ML papers every week.

Mechanistic Interpretability Visualizations using React

A collective list of free APIs

Literally messing around with GPT-2

a Research Paper Assistant

Make a text editor to run python

An AI that automatically fills forms

Contains my notebooks for kaggle competitions. If the competition is ongoing, it will be made private.

Chat with your data, modify it, visualize it, create and test machine learning models all in plain English. DataHorse makes data analysis and data science conversational using LLMs.

This is AIRAv4 at its initial stage, It has Wave, Hi, Salute and is powered by llama3, gemini and groq

A library for mechanistic interpretability of GPT-style language models

MiniLLM is a minimal system for running modern LLMs on consumer-grade GPUs

The Multilayer Perceptron Language Model

A deep-dive on the entire history of deep-learning

Python code for "Probabilistic Machine learning" book by Kevin Murphy

🔗 Some useful websites for programmers.

LLM101n: Let's build a Storyteller

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)