Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

An open source implementation of CLIP.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

A repository consisting of paper/architecture replications of classic/SOTA AI/ML papers in pytorch

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Pytorch implementation of convolutional neural network visualization techniques

Simple, unified interface to multiple Generative AI providers

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Code Repository for Machine Learning with PyTorch and Scikit-Learn

An educational resource to help anyone learn deep reinforcement learning.

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

A Collection of Variational Autoencoders (VAE) in PyTorch.

llama3 implementation one matrix multiplication at a time

From scratch implementation of a vision language model in pure PyTorch

LLM training in simple, raw C/CUDA

A collection of various deep learning architectures, models, and tips

This repository hosts a user-friendly chatbot application, powered by the GPT-3.5 model and built with the Streamlit framework. Engage in dynamic conversations, ask questions, and enjoy interactive…