wubr2000

wubr2000's Stars

• mtdvio/every-programmer-should-know

  A collection of (mostly) technical things every software developer should know about

  82.2k2k517.7k

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77k2.7k7.3k45.8k

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python36.1k3663145.6k

• eriklindernoren/ML-From-Scratch

  Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

  Language:Python23.8k939704.6k

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.5k2392.5k3.2k

• enaqx/awesome-pentest

  A collection of awesome penetration testing resources, tools and other shiny things

  21.4k1.2k374.4k

• EthicalML/awesome-production-machine-learning

  A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

  17.3k402752.2k

• zziz/pwc

  This repository is no longer maintained.

  15.4k1.2k242.5k

• andkret/Cookbook

  The Data Engineering Cookbook

  13.5k5381352.5k

• chiphuyen/machine-learning-systems-design

  A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

  Language:HTML8.9k302101.4k

• cantaro86/Financial-Models-Numerical-Methods

  Collection of notebooks about quantitative finance, with interactive python code.

  Language:Jupyter Notebook5.5k14015997

• jassics/security-study-plan

  Complete Practical Study Plan to become a successful cybersecurity engineer based on roles like Pentest, AppSec, Cloud Security, DevSecOps and so on...

  4.3k10613530

• PipelineAI/pipeline

  PipelineAI

  Language:Jsonnet4.2k346254971

• arielf/weight-loss

  Machine Learning meets ketosis: how to effectively lose weight

  Language:Python3.3k10931153

• dair-ai/ML-Notebooks

  :fire: Machine Learning Notebooks

  Language:Jupyter Notebook3.3k695514

• pytorch/xla

  Enabling PyTorch on XLA Devices (e.g. Google TPU)

  Language:C++2.4k572.2k452

• AppliedDataSciencePartners/DeepReinforcementLearning

  A replica of the AlphaZero methodology for deep reinforcement learning in Python

  Language:Jupyter Notebook2k10440758

• alrojo/tensorflow-tutorial

  Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE

  Language:Jupyter Notebook1.9k1197449

• life-itself/web3

  Making sense of web3 & crypto. Introduction to key concepts and ideas. Rigorous, constructive analysis of key claims pro and con. A look at the deeper hopes and aspirations.

  Language:HTML1.7k3395193

• vaidehijoshi/basecs-series

  A compiled list of resources from the basecs series

  94455191

• ua-parser/uap-python

  Python implementation of ua-parser

  Language:Python5553196151

• kyang6/llmparser

  Classify and extract structured data with LLMs

  Language:TypeScript4073623

• AYLIEN/gan-intro

  Language:Python389226195

• Smerity/keras_snli

  Simple Keras model that tackles the Stanford Natural Language Inference (SNLI) corpus using summation and/or recurrent neural networks

  Language:Python26416652

• civisanalytics/python-glmnet

  A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.

  Language:Python262764459

• teal33t/captcha_bypass

  Captcha bypassing methods for Selenium

  Language:Python2499752

• jakevdp/altair-examples

  Some examples of Altair plots

  Language:Jupyter Notebook926018

• dsaber/py-viz-blog

  Code for Pythonic visualization blog post

  Language:HTML404019

• ajhpark/ib_nope

  Automated trading system for NOPE strategy over IBKR TWS

  Language:Python3042117

• wubr2000/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  1