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🦜🔗 Build context-aware reasoning applications
A latent text-to-image diffusion model
A programming framework for agentic AI 🤖
10 Weeks, 20 Lessons, Data Science for All!
StableLM: Stability AI Language Models
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
QLoRA: Efficient Finetuning of Quantized LLMs
An open-source, low-code machine learning library in Python
Automatic extraction of relevant features from time series:
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
Technical Analysis Library using Pandas and Numpy
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…
Materials for the Hugging Face Diffusion Models Course
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.
Python libraries for Google Colaboratory
Python class that generates pixel art from images
KoAlpaca: 한국어 명령어를 이해하는 오픈소스 언어모델 (KoAlpaca: An open-source language model to understand Korean instructions)
Python library for identifying the peaks and valleys of a time series.
Jupyter's kernel for Elixir programming language
List of tech resources future me and other Javascript/Ruby/Python/Elixir/Elm developers might find useful
[TMLR23] Official implementation of UnIVAL: Unified Model for Image, Video, Audio and Language Tasks.
Korean SAT leader board
Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment Analysis"
Official Code Implementation of the paper : XAI for Transformers: Better Explanations through Conservative Propagation
Summarize Youtube's script by chapter creater configured
Modular Python library for PDF information extraction using state-of-the-art Vision Language Models and layout understanding. Customizable pipelines for diverse document layouts.