Bharat123rox

llama

Inference code for LLaMA models

Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

comprehensive-rust

This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

PaLM-rlhf-pytorch

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

From-0-to-Research-Scientist-resources-guide

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

ai-collection

The Generative AI Landscape - A Collection of Awesome Generative AI Applications

pyprobml

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

Machine-Learning-Interviews

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

LMOps

General technology for enabling AI capabilities w/ LLMs and MLLMs

benchmarking-gnns

Repository for benchmarking graph neural networks

cramming

Cramming the training of a (BERT-type) language model into limited compute.

fortuna

A Library for Uncertainty Quantification.

LearnML

This is the Study Guide for Learn Machine Learning in 3 Months (PyTorch Curriculum) by Siraj Raval on Youtube

geometric-gnn-dojo

Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.

tracr

dropout

Code release for "Dropout Reduces Underfitting"

giffusion

Create GIFs and Videos using Stable Diffusion

omscs-notes

OMSCS Notes is powered by Vue, Gridsome, and Firebase.

The-Kaggle-Workbook

Code Repository for The Kaggle Workbook, Published by Packt

dcai-course

Introduction to Data-Centric AI, MIT IAP 2023 🤖

DiffAN

Diffusion Models for Causal Discovery

aws-machine-learning-university-responsible-ai

Deep-Learning-Book-Supplementary-Materials

Supplementary Materials for the Deep Learning Book by Ian Goodfellow et al

Walk-with-fastai-revisited

Source notebook code for the course, stripped of all information. Please consider puchasing the course at https://store.walkwithfastai.com

ML4G

Machine Learning for Alignment Bootcamp

natural-language-processing

Machine-Learning-for-Trading

Apply machine learning models to stock portfolio optimization

machine-learning-concepts