NLP Zero to Hero in just 10 Kernels
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Updated
Sep 22, 2024 - Jupyter Notebook
NLP Zero to Hero in just 10 Kernels
This repository contains the collection of explorative notebooks pure in python and in the language that we, humans can read. Have tried to compile all lectures from the Andrej Karpathy's 💎 playlist on Neural Networks - which we will end up with building GPT.
Building Andrej Kapathy's micrograd from scratch
my lecture notes of cs231n of Andrej Karpathy
Building Andrej Karpathy's Makemore from scratch
Generating image captions using Xception Network and Beam Search in Keras - My Bachelor's thesis project
understanding language modeling by training a small GPT on Shakespeare plays.
A learning journal
Following Prof. Andrej Karpathy Makemore tutorial series on yt.
Deep Learning model to caption an image. [Course Project, CS 337( 2019-1 ) - IIT Bombay]
I will be starting and completing Andrej Karpathy's "Neural Networks: Zero to Hero" YouTube playlist. This repository will contain my implementations and notes as I progress through the series.
Corso completo in Intelligenza Artificiale Generativa, a partire da zero
🧠 A minimal, end-to-end implementation of a ChatGPT-like model from scratch — covering tokenization, transformer architecture, and inference, all in Python.
Convolutional Neural Networks for Visual Recognition Course http://kamranisg.github.io/CS231n-Andrej_Karpathy_Stanford/
Character-level Long Short Term Memory Recurrent Neural Network implemented from scratch in Python
SeedGPT is a minimal decoder-only LLM from scratch, inspired by andrej karpathy's tutorials, generating text token-by-token based on input word prompts.
This project implements the decoder part of the "Attention is All You Need" architecture, following Andrej Karpathy's video explanation.
Character level text generation using LSTMs on Bhagavad Gita As It Is
Implementing Andrej Karpathy's Zero to Hero series of lectures
Repository for exercises and projects related to the "Neural Networks Zero to Hero" tutorial by Andrej Karpathy. This repository is designed to complement the tutorial and provide hands-on practice to reinforce the concepts covered.
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