Stars
[NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baichuan, TinyLlama, etc.
Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems
A Collection on Large Language Models for Optimization
The registry of the OptunaHub packages
Python library to use and implement packages in OptunaHub
Home for GSAS-II: crystallographic and diffraction-based structural characterization of materials
This repository is part of a "Machine Learning from Scratch" seminar at Harvard Medical School.
[IJCAI'23] Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator
[IJCAI'23] PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces
[IJCAI'23] c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization
We write your reusable computer vision tools. 💜
StableLM: Stability AI Language Models
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
A Docker Automated Build Repository for SoftEther VPN
The tree-structured Parzen estimator (TPE) implementation and the simple running code for it
Emulator for rapid prototyping of Software Defined Networks
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Tips for studying and working abroad for Japanese students
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Companion webpage for the book "Bayesian Optimization" by Roman Garnett
An open access book on scientific visualization using python and matplotlib