zyweven's Stars
kamranahmedse/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
jackfrued/Python-100-Days
Python - 100天从新手到大师
puppeteer/puppeteer
JavaScript API for Chrome and Firefox
fatedier/frp
A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
appsmithorg/appsmith
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
formulahendry/955.WLB
955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
microsoft/Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
fastai/fastai
The fastai deep learning library
shap/shap
A game theoretic approach to explain the output of any machine learning model.
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
Lerist/FakeLocation
Fake Location
ShameCom/ShameCom
收集校招污点公司或组织，帮助学弟学妹避雷。互联网不曾遗忘！
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
shenweichen/DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
pgmpy/pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
frgfm/torch-cam
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
manujosephv/pytorch_tabular
A standard framework for modelling Deep Learning Models for tabular data
aerdem4/lofo-importance
Leave One Feature Out Importance
Jannchie/BiliOB
BiliOB观测者是一个观测B站UP主及视频数据变化，并予以分析的Web应用程序。
DataCanvasIO/DeepTables
DeepTables: Deep-learning Toolkit for Tabular data
Qwicen/node
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
huangtinglin/Linear-Algebra-and-Its-Applications-notes
《线性代数及其应用》笔记
DataCanvasIO/HyperGBM
A full pipeline AutoML tool for tabular data
meshpro/meshzoo
A collection of meshes for canonical domains
zxxwin/GBDT_LR
广告点击率(CTR)预测经典模型 GBDT + LR 理解与实践（附数据 + 代码）