michaelerlihson / scientific-resources
This repo contains deep learning(DL) papers reviews, presentations on DL/DS topics, data science learning materials
☆39Updated 10 months ago
Alternatives and similar repositories for scientific-resources
Users that are interested in scientific-resources are comparing it to the libraries listed below
Sorting:
- DRL university course lecture notes & exercises☆86Updated 2 years ago
- Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.☆27Updated 10 months ago
- This repository holds my paper implementations made for my studies and my content production☆35Updated 7 months ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆104Updated last year
- Compendium of free ML reading resources☆329Updated 3 weeks ago
- NYU Deep Learning Fall 2022☆58Updated 8 months ago
- Lecture notes & Exercises☆45Updated 2 years ago
- Fourier based drawing script☆13Updated 3 years ago
- Fast data exploration using Sweetviz☆22Updated 2 years ago
- Official Repo for the Efficient Python for Data Scientists Book. You can buy the book from here:☆573Updated 3 months ago
- This is a repository for the course "From Beginner to LLM Developer" by Towards AI.☆194Updated this week
- A course on Linear Algebra using Python in Jupyter notebooks☆33Updated last year
- Examples of python neural net and ML stock prediction methods with sample stock data.☆268Updated 5 months ago
- A repository to index and organize the latest machine learning courses found on YouTube.☆34Updated 3 years ago
- Repo where I recreate some popular machine learning models from scratch in Python☆114Updated 3 months ago
- Forecasting: Principles and Practice☆59Updated 3 years ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆65Updated 5 months ago
- Introduction to PyTorch, covering tensor initialization, operations, indexing, and reshaping.☆56Updated 3 weeks ago
- Notebooks for the Practicals at the Deep Learning Indaba 2022.☆175Updated last year
- Exploring machine learning engineering and operations. ❚☆39Updated 2 weeks ago
- Deep Learning Fundamentals -- Code material and exercises☆375Updated last year
- ☆150Updated 2 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆157Updated last year
- The Orange Book of Machine Learning☆40Updated 2 months ago
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆87Updated 2 years ago
- Statistical optimization for AI and machine learning☆58Updated 5 months ago
- Practical machine learning notebook & articles covers the machine learning end to end life cycle.☆926Updated last year
- My book: Gentle Introduction to Chaotic Dynamical Systems. Includes stochastic dynamical systems and statistical properties of numeratio…☆39Updated 3 months ago
- Practical Guide to Applied Conformal Prediction, published by Packt☆175Updated last week
- Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.☆135Updated last year