”parameter-tuning“ 的搜索结果

#大语言模型#🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Open-source implementation of Google Vizier for hyper parameters tuning

[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

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

翻译 - 用于自动化机器学习生命周期的开源AutoML工具包，包括功能工程，神经体系结构搜索，模型压缩和超参数调整。

A plug-and-play library for parameter-efficient-tuning (Delta Tuning)

Implementation of paper "Towards a Unified View of Parameter-Efficient Transfer Learning" (ICLR 2022)

#计算机科学#Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

翻译 - 通过特征工程和超参数调整来自动化机器学习管道：火箭：

🎛️ Compact GUI for fine-tuning parameters and monitoring value changes

Tools for tidy parameter tuning

An easy way to fine-tune, and adjust parameters for iOS apps in development.

Collection of awesome parameter-efficient fine-tuning resources.

Implementation of "SVDiff: Compact Parameter Space for Diffusion Fine-Tuning"

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning (ICLR 2023).

PyTorch codes for "LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning"

Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"

#计算机科学#Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

翻译 - 惰性预测功能无需大量代码即可构建许多基本模型，并有助于了解哪些模型在无需进行任何参数调整的情况下效果更好

HTTP parameter discovery suite.

翻译 - HTTP参数发现套件。

Spearmint integrated Bayesian Optimization for hyper parameter tuning of Auto sparse encoder embedded with softmax Classifier for MNIST digit Classification.

A parameter verify tools.

Hyper-parameter optimization for sklearn

A lightweight parameter server interface

翻译 - 轻量级的参数服务器界面

Python based framework for Automatic AI for Regression and Classification over numerical data. Performs model search, hyper-parameter tuning, and high-quality Jupyter Notebook code generation.

#大语言模型#Instruction Tuning with GPT-4

Automated Machine Learning on Kubernetes

For basic researches, top 25 vulnerability parameters that can be used in automation tools or manual recon. 🛡️⚔️🧙

翻译 - 对于基础研究，可以在自动化工具或手动侦查中使用的前25个漏洞参数。🛡️⚔️🧙