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.
☆47Updated 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:
- Apply the Nested Sampling Monte Carlo algorithm to fit exoplanet radial velocity data and estimate the posterior distribution of the mod…☆11Updated 9 months ago
- Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative A…☆126Updated 6 months ago
- ☆73Updated last year
- Material on Machine Learning methods applied to Physics analysis, with an emphasis on Regression and Deep Learning Methods. https://comp…☆20Updated 2 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…☆107Updated 8 months ago
- Use animation to explain machine learning☆85Updated 3 years ago
- Documenting my study of" An Introduction to Statistical Learning with Python " book - theory, code, exercises, notes and my progress all …☆194Updated last month
- This repository contains exercises and projects on computational science and AI for the CompSci program. Lecture notes at https://compph…☆17Updated last year
- ☆415Updated 9 months ago
- Challenging myself to learn CUDA (Basics → Intermediate) these 100 days.☆31Updated 7 months ago
- Website for the textbook Mathematical Methods in Data Science (MMiDS) by Sebastien Roch☆86Updated 3 months ago
- Repository of implementations of classic and sota rl algorithms from scratch in PyTorch☆221Updated last month
- Quantitative finance example applications on GPUs using portable programming models.☆93Updated last year
- ☆157Updated last year
- ☆120Updated 2 months ago
- ☆175Updated last year
- MITx 6.86x | Machine Learning with Python | From Linear Models to Deep Learning☆55Updated 3 years ago
- ☆86Updated 2 months ago
- Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative A…☆34Updated 4 years ago
- ☆27Updated last week
- Notes about "Attention is all you need" video (https://www.youtube.com/watch?v=bCz4OMemCcA)☆336Updated 2 years ago
- Notes on "Programming Massively Parallel Processors" by Hwu, Kirk, and Hajj (4th ed.)☆53Updated last year
- ☆121Updated last year
- Accelerated General (FP32) Matrix Multiplication from scratch in CUDA☆182Updated last year
- GPU Kernels☆220Updated 9 months ago
- Building a GPT-like LLM from scratch with PyTorch.☆334Updated last year
- 100 days of building GPU kernels!☆569Updated 9 months ago
- Books To Master Deep Learning☆279Updated 4 years ago
- Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhur…☆243Updated last year
- Hands-On GPU Programming with Python and CUDA, published by Packt☆409Updated last year