jingmengzhiyue Goto Github PK

100-days-of-ml-code

100-Days-Of-ML-Code中文版

aichat

Using ChatGPT/GPT-3.5/GPT-4/chatanywhere in the terminal.

alpaca-fine-tuning

The fine-tuning of large language models (alpaca) for education

clip_image_similarity

A Simple Image Similarity Retrieval Network Based on CLIP

common-machine-learning-algorithms

This repository plans to collect common machine learning algorithms.

deep-hs-prior

Single Hyperspectral Image Denoising, Inpainting, Super-Resolution

ed-kogtl

englishgrammarbook

旋元佑进阶文法

gnn

hyperevalsr

An open source python package for super-resolution/recovery quality evaluation of hyperspectral images, including RMSE, ERGAS, SSIM, RSNR, PSNR, CC, DD, and SAM.

image

ista-u-net

jingmengzhiyue.github.io

My hexo blog

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

learn-statistical-learning-method

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

lightmatrix

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

ll1_hsr_hu

This repository contains the software for joint HSR and unmixing using LL1 decomposition.

lntu_thesis

machinelearning

Basic Machine Learning and Deep Learning

machinelearningnotes

My personal notes

md

一些在线交互的markdown笔记

ml-note

:orange_book:慢慢整理所学的机器学习算法，并根据自己所理解的样子叙述出来。(注重数学推导)

ml_notes

机器学习算法的公式推导以及numpy实现

nvim_config

Configuration file of neovim

optilearnstats

OptiLearnStats is a versatile repository that combines common optimization algorithms, machine learning techniques, and statistical methods. It offers a wide range of functionalities to tackle diverse problems in these domains.

pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

qrnn3d

3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising (TNNLS 2020)

qwerty-learner

为键盘工作者设计的单词记忆与英语肌肉记忆锻炼软件 / Words learning and English muscle memory training software designed for keyboard workers

statistic-learning-r-note

📖超详细《统计学习方法：李航》笔记 200 页，包含了很多详细的公式推导和案例实践，已经整理成pdf，有详细的目录。