koogi303

skypilot

SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.

LLaMA-Factory

Unify Efficient Fine-Tuning of 100+ LLMs

LOMO

LOMO: LOw-Memory Optimization

alpaca-rlhf

Finetuning LLaMA with RLHF (Reinforcement Learning with Human Feedback) based on DeepSpeed Chat

starcoder

Home of StarCoder: fine-tuning & inference!

Vicuna-LoRA-RLHF-PyTorch

A full pipeline to finetune Vicuna LLM with LoRA and RLHF on consumer hardware. Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the Vicuna architecture. Basically ChatGPT but with Vicuna

alpaca-lora

Instruct-tune LLaMA on consumer hardware

sampler

Tool for shell commands execution, visualization and alerting. Configured with a simple YAML file.

ColossalAI

Making large AI models cheaper, faster and more accessible

MARS-Regression-Stock-Forecast

Forecasting the next day stock price for a given asset utilizing the multivariate adaptive regression splines algorithm and web scraping to get the VIX percent change

gmm-torch

Gaussian mixture models in PyTorch.

numpy-ml

Machine learning, in numpy

HEBO

Bayesian optimisation & Reinforcement Learning library developped by Huawei Noah's Ark Lab

machine-learning

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

JES

Joint entropy search

MESMOC

Python implementation for MESMOC the paper "Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints".

shap

A game theoretic approach to explain the output of any machine learning model.

MQSim-E

Supervised_Learning_on_GC_by_MQSim

Decreasing the overhead on the Garbage Collection of SSD by using Machine Learning(put it into practice by MQSim)

KnobsTuningEA

An Experimental Evaluation for Database Configuration Tuning

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

turbo

Bayesian optimisation for global black box function optimisation

ModernConvNets

Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras

StyleGAN2-Tensorflow-2.0

StyleGAN 2 in Tensorflow 2.0

mnistGANs

Some implementations of GAN.

dlvm

Deep Latent Variable Methods

SKMeans

Implementation of k-means with cosine distance as distance metric

spectral-clustering

Python implementation of the spectral clustering algorithm

snn-clustering

Shared Nearest Neighbor Clustering Algorithm: Implementation and Evaluation

SLR_on_TCP

A systematic literature review on test case prioritization with FASTREAD