rodolfoamancio
Data scientist @ Albert Einstein Israelite Hospital | Ongoing master of science degree in Statisical mechanics and Monte Carlo simulations @ UNICAMP
Albert Einstein Israelite HospitalBrazil
rodolfoamancio's Stars
DopplerHQ/awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
tayllan/awesome-algorithms
A curated list of awesome places to learn and/or practice algorithms.
prakhar1989/awesome-courses
:books: List of awesome university courses for learning Computer Science!
academic/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
youssefHosni/Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
aaronwangy/Data-Science-Cheatsheet
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
kamranahmedse/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
practical-tutorials/project-based-learning
Curated list of project-based tutorials
ligiaviz/geoses
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
gimac/gninrael-enihcam
machine learning resources
iRASPA/RASPA2
Classical molecular simulation code
Allen-Tildesley/examples
Fortran and Python examples to accompany the book "Computer Simulation of Liquids" by Michael P. Allen and Dominic J. Tildesley (2nd edition, Oxford University Press, 2017). Use the "Code" button, or follow the "Releases" link below.