wubr2000's Stars
mtdvio/every-programmer-should-know
A collection of (mostly) technical things every software developer should know about
tensorflow/models
Models and examples built with TensorFlow
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
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.
shap/shap
A game theoretic approach to explain the output of any machine learning model.
enaqx/awesome-pentest
A collection of awesome penetration testing resources, tools and other shiny things
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
zziz/pwc
This repository is no longer maintained.
andkret/Cookbook
The Data Engineering Cookbook
chiphuyen/machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
cantaro86/Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
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...
PipelineAI/pipeline
PipelineAI
arielf/weight-loss
Machine Learning meets ketosis: how to effectively lose weight
dair-ai/ML-Notebooks
:fire: Machine Learning Notebooks
pytorch/xla
Enabling PyTorch on XLA Devices (e.g. Google TPU)
AppliedDataSciencePartners/DeepReinforcementLearning
A replica of the AlphaZero methodology for deep reinforcement learning in Python
alrojo/tensorflow-tutorial
Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
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.
vaidehijoshi/basecs-series
A compiled list of resources from the basecs series
ua-parser/uap-python
Python implementation of ua-parser
kyang6/llmparser
Classify and extract structured data with LLMs
AYLIEN/gan-intro
Smerity/keras_snli
Simple Keras model that tackles the Stanford Natural Language Inference (SNLI) corpus using summation and/or recurrent neural networks
civisanalytics/python-glmnet
A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.
teal33t/captcha_bypass
Captcha bypassing methods for Selenium
jakevdp/altair-examples
Some examples of Altair plots
dsaber/py-viz-blog
Code for Pythonic visualization blog post
ajhpark/ib_nope
Automated trading system for NOPE strategy over IBKR TWS
wubr2000/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.