tmeloliveira's Stars
armankhondker/best-leetcode-resources
This repository contains resources for technical coding interviews.
ByteByteGoHq/system-design-101
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
Deaf-Clojurian/sudoku-solver
Solver and Verifier of Sudoku
kanaka/mal
mal - Make a Lisp
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
williamfiset/Algorithms
A collection of algorithms and data structures
kucherenko/jscpd
Copy/paste detector for programming source code.
rabbibotton/clog
CLOG - The Common Lisp Omnificent GUI
slidevjs/slidev
Presentation Slides for Developers
rxhanson/Rectangle
Move and resize windows on macOS with keyboard shortcuts and snap areas
nubank/fklearn
fklearn: Functional Machine Learning
matheusfacure/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
jcranky/scalando
Código de exemplo do livro Scala: Como escalar sua produtividade
handsonscala/handsonscala
Discussion and and code examples for the book Hands-on Scala Programming
visenger/awesome-mlops
A curated list of references for MLOps
fogleman/ln
3D line art engine.
icd-ufmg/material
Material do Curso
norvig/pytudes
Python programs, usually short, of considerable difficulty, to perfect particular skills.
fastapi/fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
marcotcr/checklist
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
WillKoehrsen/feature-selector
Feature selector is a tool for dimensionality reduction of machine learning datasets
amitness/learning
A log of things I'm learning
labuladong/fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
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.
mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
apache/superset
Apache Superset is a Data Visualization and Data Exploration Platform
google/tsunami-security-scanner
Tsunami is a general purpose network security scanner with an extensible plugin system for detecting high severity vulnerabilities with high confidence.
Z4nzu/hackingtool
ALL IN ONE Hacking Tool For Hackers
poloclub/cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization.
dabeaz-course/practical-python
Practical Python Programming (course by @dabeaz)