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appagent

AppAgent: Multimodal Agents as Smartphone Users, an LLM-based multimodal agent framework designed to operate smartphone apps.

autokg

LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

chameleon

Repository for Meta Chameleon a mixed-modal early-fusion foundation model from FAIR.

cumo

CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

guicourse

GUICourse: From General Vision Langauge Models to Versatile GUI Agents

hmc-snuh

isaacgymenvs

Isaac Gym Reinforcement Learning Environments

kaggle_kr

2018 공개 소프트웨어 컨트리뷰톤 - 캐글 속 커널 한글화 작업을 통한 데이터 사이언스 대중화 프로젝트

langchain-class

llama-factory-ko

Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)

llmner

mayday

An self-improving embodied conversational agent seamlessly integrated into the operating system to automate our daily tasks.

megabyte

A PyTorch implementation of MEGABYTE. This multi-scale transformer architecture has the excellent features of tokenization-free and sub-quadratic attention. The paper link: https://arxiv.org/abs/2305.07185

megatron-lm

Ongoing research training transformer models at scale

mm-cot

Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)

moe-llava

Mixture-of-Experts for Large Vision-Language Models

muffin

nanotron

Minimalistic large language model 3D-parallelism training

nc-gpt2

next-chat

nextchat-gpt

outlines

Structured Text Generation

psld

Posterior Sampling using Latent Diffusion

python-package-template

A easy, reliable, fluid template for python packages complete with docs, testing suites, readme's, github workflows, linting and much much more

pytorch-deep-learning-template

A Pytorch Computer Vision template to quick start your next project! 🚀🚀

pytorch-template

PyTorch deep learning projects made easy.

rope-kernel

rope kernel studying

timeseries_seq2seq

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.