JohnMachado11 / Neural-Networks-from-Scratch-in-PythonLinks
Building neural networks from scratch only with Python and NumPy. This covers coding neurons, layering them, using activation functions, calculating loss, backpropagation, and optimizing parameters.
☆46Updated 6 months ago
Alternatives and similar repositories for Neural-Networks-from-Scratch-in-Python
Users that are interested in Neural-Networks-from-Scratch-in-Python are comparing it to the libraries listed below
Sorting:
- Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative A…☆126Updated 6 months ago
- Website for the textbook Mathematical Methods in Data Science (MMiDS) by Sebastien Roch☆86Updated 2 months ago
- Use animation to explain machine learning☆85Updated 3 years ago
- A low-latency C++ generator inspired by Fix8, creating encoder, decoder, and message classes from a custom YAML schema for the Binary Ord…☆106Updated 7 months ago
- ☆120Updated last year
- Quantitative finance example applications on GPUs using portable programming models.☆93Updated last year
- Notes on "Programming Massively Parallel Processors" by Hwu, Kirk, and Hajj (4th ed.)☆53Updated last year
- ☆118Updated last month
- Machine Learning MRes Material☆15Updated 3 months ago
- ☆442Updated last month
- The official GitHub repository for the Mathematics of Machine Learning book!☆294Updated 8 months ago
- Challenging myself to learn CUDA (Basics → Intermediate) these 100 days.☆31Updated 7 months ago
- All of the code shown in my YouTube tutorials. Files are grouped by Playlist, then Video Title.☆39Updated last year
- A course on Linear Algebra using Python in Jupyter notebooks☆47Updated 2 years ago
- Master calculus 1 using Python: derivatives and applications☆84Updated 8 months ago
- Accelerated General (FP32) Matrix Multiplication from scratch in CUDA☆181Updated last year
- Stamatics 2021☆14Updated 4 years ago
- Python Feature Engineering Cookbook, Third Edition, published by Packt☆65Updated last month
- Slides, exercises and resources for the 2023-2024 course "High Performance Computing" under the "Scientific and Data-Intensive Computing"…☆45Updated last year
- ☆74Updated last year
- ☆27Updated last week
- ☆129Updated last year
- ☆78Updated 10 months ago
- Material on Machine Learning methods applied to Physics analysis, with an emphasis on Regression and Deep Learning Methods. https://comp…☆20Updated 2 years ago
- GenerativeAI, LLM, RAG, and LangChain technical Bootcamp including use cases, case studies, and the GenerativeAI app deployment implement…☆48Updated last year
- 📌 +2500 elo Machine Learning based chess engine + Game Theory Algorithms , made from basic chess rules + neural networks + evaluation fu…☆81Updated this week
- "In "Time Series Analysis for Finance in Python", we navigate the complex rhythms and patterns of financial data, diving deep into how ti…☆16Updated 2 years ago
- This repo contains deep learning(DL) papers reviews, presentations on DL/DS topics, data science learning materials☆65Updated last year
- Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative A…☆34Updated 4 years ago
- Learning Deep Learning☆327Updated last year