Ramnath Vaidyanathan's repositories
fastai-course22
The fast.ai course notebooks
PyTorchStepByStep
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
ai-notes
notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references under the /Resources folder.
Building-with-Instruction-Tuned-LLMs-A-Step-by-Step-Guide
Resources relating to the DLAI event: https://www.youtube.com/watch?v=eTieetk2dSw
diffusion-nbs
Getting started with diffusion
fsdl-text-recognizer-2022-labs
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
gitpod-test-1
A repository to test gitpod
googleComputeEngineR
An R interface to the Google Cloud Compute API, for launching virtual machines
gptstudio
GPT RStudio addins that enable GPT assisted coding, writing & analysis
guidance
A guidance language for controlling large language models.
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
human-eval
Code for the paper "Evaluating Large Language Models Trained on Code"
langchain
⚡ Building applications with LLMs through composability ⚡
LangChain-Concepts-101---Build-Your-Own-RAQA-System
This repository contains a toy implementation of a basic RAQA system.
langchain-tutorials
Overview and tutorial of the LangChain Library
learn-langchain
Learning Langchains
llm-numbers
Numbers every LLM developer should know
machine-learning-experiments
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
notebooks-1
Code examples and jupyter notebooks for the Cohere Platform
NSQL
Numbers Station Text to SQL model code.
OpenChat
LLMs custom-chatbots console ⚡
prompt-engineering
Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
terraform-beginner-bootcamp-2023
Terraform Beginner Bootcamp
uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022