Konstantinos Giantsios (CoGian)

CoGian

Geek Repo

Company:Atypon

Location:Thessaloniki, Greece

Home Page:https://www.linkedin.com/in/constantinos-giantsios/

Github PK Tool:Github PK Tool

Konstantinos Giantsios's starred repositories

llm-course

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

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:32249Issues:0Issues:0

sglang

SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with models faster and more controllable.

Language:PythonLicense:Apache-2.0Stargazers:2551Issues:0Issues:0

lime

Lime: Explaining the predictions of any machine learning classifier

Language:JavaScriptLicense:BSD-2-ClauseStargazers:11356Issues:0Issues:0

InPars

Inquisitive Parrots for Search

Language:PythonLicense:Apache-2.0Stargazers:163Issues:0Issues:0

GCP-Demo

GCP Stack Development Demo

Language:HCLLicense:Apache-2.0Stargazers:7Issues:0Issues:0

open-llms

📋 A list of open LLMs available for commercial use.

License:Apache-2.0Stargazers:10373Issues:0Issues:0

openai-cookbook

Examples and guides for using the OpenAI API

Language:MDXLicense:MITStargazers:56915Issues:0Issues:0

GPTQ-for-LLaMa

4 bits quantization of LLaMA using GPTQ

Language:PythonLicense:Apache-2.0Stargazers:2932Issues:0Issues:0

gptq

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

Language:PythonLicense:Apache-2.0Stargazers:1752Issues:0Issues:0

LLaMA-Adapter

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

Language:PythonLicense:GPL-3.0Stargazers:5560Issues:0Issues:0

ColossalAI

Making large AI models cheaper, faster and more accessible

Language:PythonLicense:Apache-2.0Stargazers:38114Issues:0Issues:0

llm_training_handbook

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

Language:PythonLicense:CC-BY-SA-4.0Stargazers:413Issues:0Issues:0

neural-search-pills

Knowledge pills on Neural Search

License:Apache-2.0Stargazers:22Issues:0Issues:0

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.

Language:PythonLicense:NOASSERTIONStargazers:22050Issues:0Issues:0
Language:HCLLicense:Apache-2.0Stargazers:46Issues:0Issues:0

my_notes

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

License:Apache-2.0Stargazers:1617Issues:0Issues:0
Language:PythonLicense:MITStargazers:307Issues:0Issues:0

tuning_playbook

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

License:NOASSERTIONStargazers:25437Issues:0Issues:0

Open-Assistant

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

Language:PythonLicense:Apache-2.0Stargazers:36749Issues:0Issues:0

beam

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

Language:JavaLicense:Apache-2.0Stargazers:7596Issues:0Issues:0

HiAGM

Hierarchy-Aware Global Model for Hierarchical Text Classification

Language:PythonLicense:MITStargazers:202Issues:0Issues:0

HDLTex

HDLTex: Hierarchical Deep Learning for Text Classification

Language:PythonLicense:MITStargazers:260Issues:0Issues:0

training-data-analyst

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

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:7561Issues:0Issues:0

bigquery-emulator

BigQuery emulator server implemented in Go

Language:GoLicense:MITStargazers:743Issues:0Issues:0

Cloud-AI-Analytics

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

Language:Jupyter NotebookStargazers:39Issues:0Issues:0

DataflowTemplates

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

Language:JavaLicense:Apache-2.0Stargazers:1100Issues:0Issues:0

fastapi-celery

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

Language:PythonLicense:MITStargazers:351Issues:0Issues:0

ML-Course-Notes

🎓 Sharing machine learning course / lecture notes.

License:NOASSERTIONStargazers:5899Issues:0Issues:0

data-science-question-answer

A repo for data science related questions and answers

Language:Jupyter NotebookLicense:MITStargazers:2399Issues:0Issues:0

machine-learning-interview

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

Stargazers:8449Issues:0Issues:0