wubr2000
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Classify and extract structured data with LLMs
A playbook for systematically maximizing the performance of deep learning models.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Complete Practical Study Plan to become a successful cybersecurity engineer based on roles like Pentest, AppSec, Cloud Security, DevSecOps and so on...
A collection of (mostly) technical things every software developer should know about
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.
Automated trading system for NOPE strategy over IBKR TWS
Collection of notebooks about quantitative finance, with interactive python code.
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
A compiled list of resources from the basecs series
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 lear…
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A game theoretic approach to explain the output of any machine learning model.
A replica of the AlphaZero methodology for deep reinforcement learning in Python
A collection of awesome penetration testing resources, tools and other shiny things
Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.
Simple Keras model that tackles the Stanford Natural Language Inference (SNLI) corpus using summation and/or recurrent neural networks
Models and examples built with TensorFlow
Machine Learning meets ketosis: how to effectively lose weight