CoGian

openai-cookbook

Examples and guides for using the OpenAI API

ColossalAI

Making large AI models cheaper, faster and more accessible

llm-course

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

Open-Assistant

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

tuning_playbook

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

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

lime

Lime: Explaining the predictions of any machine learning classifier

open-llms

📋 A list of open LLMs available for commercial use.

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

beam

Apache Beam is a unified programming model for Batch and Streaming data processing.

ML-Course-Notes

🎓 Sharing machine learning course / lecture notes.

LLaMA-Adapter

[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

sglang

SGLang is a fast serving framework for large language models and vision language models.

GPTQ-for-LLaMa

4 bits quantization of LLaMA using GPTQ

data-science-question-answer

A repo for data science related questions and answers

gptq

Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".

my_notes

My small cheatsheets for data science, ML, computer science and more.

DataflowTemplates

Cloud Dataflow Google-provided templates for solving in-Cloud data tasks

bigquery-emulator

BigQuery emulator server implemented in Go

llm_training_handbook

An open collection of methodologies to help with successful training of large language models.

fastapi-celery

Example of how to handle background processes with FastAPI, Celery, and Docker

knnlm

HDLTex

HDLTex: Hierarchical Deep Learning for Text Classification

HiAGM

Hierarchy-Aware Global Model for Hierarchical Text Classification

InPars

Inquisitive Parrots for Search

ci-cd-for-data-processing-workflow

Cloud-AI-Analytics

This Repo contain details related to Data Engineering tech stacks in GCP

neural-search-pills

Knowledge pills on Neural Search

GCP-Demo

GCP Stack Development Demo