SoranSun's Stars
freeCodeCamp/freeCodeCamp
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
f/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
PlexPt/awesome-chatgpt-prompts-zh
ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。
lencx/ChatGPT
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
marktext/marktext
📝A simple and elegant markdown editor, available for Linux, macOS and Windows.
optuna/optuna
A hyperparameter optimization framework
asweigart/pyautogui
A cross-platform GUI automation Python module for human beings. Used to programmatically control the mouse & keyboard.
wzhe06/Reco-papers
Classic papers and resources on recommendation
lin-123/javascript
eslint-config-airbnb 中文版
asweigart/pyperclip
Python module for cross-platform clipboard functions.
optuna/optuna-examples
Examples for https://github.com/optuna/optuna
murufeng/CVPR_2021_Papers
CVPR2021最新论文汇总,主要包括:Transformer, NAS,模型压缩,模型评估,图像分类,检测,分割,跟踪,GAN,超分辨率,图像恢复,去雨,去雾,去模糊,去噪,重建等等
curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
minerva-ml/open-solution-home-credit
Open solution to the Home Credit Default Risk challenge :house_with_garden:
LogicJake/tianchi-news-recommendation
零基础入门推荐系统 - 新闻推荐 Top2
tinyzqh/Opencv-Computer-Vision-Practice-Python-
Opencv 计算机视觉实战
DanielMartensson/EmbeddedLapack
Linear algebra for embedded system with MATLAB style
kirthevasank/nasbot
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
ra1ph2/Vision-Transformer
Implementation of Vision Transformer from scratch and performance compared to standard CNNs (ResNets) and pre-trained ViT on CIFAR10 and CIFAR100.
sahidul-shaikh/credit-card-fraud-detection
Machine learning model for Credit Card fraud detection
vishnukanduri/Credit-Risk-Modeling-in-Python
Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discrete variables using various techniques depending on the feature. Checked for missing values and cleaned the data. Built the probability of default model using Logistic Regression. Visualized all the results. Computed Weight of Evidence and price elasticities.
Apm5/ImageNet_ResNet_Tensorflow2.0
Train ResNet on ImageNet in Tensorflow 2.0; ResNet 在ImageNet上完整训练代码
jia-zhuang/xgboost-lightgbm-hyperparameter-tuning
Bayesian Optimization and Grid Search for xgboost/lightgbm
Apm5/tensorflow_2.0_tutorial
tensorflow 2.0 正式版实用教程/tutorial
naszilla/nas-encodings
Encodings for neural architecture search
naszilla/bananas
Bayesian Optimization with Neural Architectures for Neural Architecture Search - https://arxiv.org/abs/1910.11858
ThinkingXuan/loan-risk-prediction
💖基于机器学习的贷中风险预测模型--江苏银行“随e融”杯--二等奖💖
naszilla/darts
Fork of DARTS used for Bayesian Optimization with Neural Architectures for Neural Architecture Search
abdelaha/GP_101
Guassian Process 101
kirthevasank/dragonfly
An open source python library for scalable Bayesian optimisation.