PyTorch native quantization and sparsity for training and inference

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

aiomonitor is module that adds monitor and python REPL capabilities for asyncio application

aiomonitor is module that adds monitor and python REPL capabilities for asyncio application

ReFT: Representation Finetuning for Language Models

LangChain 공식 Document, Cookbook, 그 밖의 실용 예제를 바탕으로 작성한 한국어 튜토리얼입니다. 본 튜토리얼을 통해 LangChain을 더 쉽고 효과적으로 사용하는 방법을 배울 수 있습니다.

Regression Transformer (2023; Nature Machine Intelligence)

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Tools for merging pretrained large language models.

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

High-speed Large Language Model Serving on PCs with Consumer-grade GPUs

AI-Video-Cropper is a Python-based tool that leverages the power of GPT-4 (OpenAI's language model) to automatically analyze videos, extract the most interesting sections, and crop them for improve…

Specify what you want it to build, the AI asks for clarification, and then builds it. Completely separate team and codebase from the AI Web App builder https://gptengineer.app

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Remove text from AI-generated images

100 Must-Read NLP Papers

The official implementation of “Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training”

🔥Highlighting the top ML papers every week.

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

4 bits quantization of LLaMA using GPTQ

Running large language models on a single GPU for throughput-oriented scenarios.

LLM inference in C/C++

Resource-adaptive cluster scheduler for deep learning training.

Backend.AI is a streamlined, container-based computing cluster platform that hosts popular computing/ML frameworks and diverse programming languages, with pluggable heterogeneous accelerator suppor…

Unlock vGPU functionality for consumer grade GPUs.

Solve puzzles. Learn CUDA.

Study Group of Deep Learning Compiler

🎓 Sharing machine learning course / lecture notes.

Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization