Explaining the Math of how neural networks learn
☆377Jan 15, 2020Updated 6 years ago
Alternatives and similar repositories for scratch_mlp
Users that are interested in scratch_mlp are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Interactive machine learning algorithm visualisation using Python Jupyter notebooks☆53Jan 19, 2020Updated 6 years ago
- Super-Machine-Learning-Revision-Notes☆76Oct 25, 2019Updated 6 years ago
- 慢慢整理所学的机器学习算法,并根据自己所理解的样子叙述出来。(注重数学推导)☆676Dec 4, 2022Updated 3 years ago
- Neural Network Models for Multi-label learning☆16Oct 13, 2020Updated 5 years ago
- The basic distribution probability Tutorial for Deep Learning Researchers☆1,637Oct 1, 2020Updated 5 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Multilayer Perceptron Keras wrapper for sklearn☆69Jun 21, 2022Updated 3 years ago
- The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney☆36Dec 7, 2020Updated 5 years ago
- Machine learning, in numpy☆16,344Oct 29, 2023Updated 2 years ago
- ☆11Jun 11, 2019Updated 6 years ago
- ☆12Oct 9, 2020Updated 5 years ago
- Introductory overview of Bayesian inference☆43Apr 16, 2019Updated 7 years ago
- ☆10Nov 19, 2015Updated 10 years ago
- Collection of awesome school references.☆13Sep 17, 2019Updated 6 years ago
- ☆10Aug 25, 2015Updated 10 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Automatic Generation of Brief Summaries of Time-Series Data☆67Feb 15, 2023Updated 3 years ago
- An UWP app that illustrates some of the Composition API effects.☆10May 15, 2016Updated 10 years ago
- Canonical normalizing flows☆10Apr 30, 2019Updated 7 years ago
- The "Python Machine Learning (2nd edition)" book code repository and info resource☆7,201Oct 1, 2020Updated 5 years ago
- ☆36Dec 14, 2019Updated 6 years ago
- Deploy Pytorch models to production via panini☆10Mar 18, 2019Updated 7 years ago
- Implementation of the approach described in "Understanding deep features with computer-generated imagery" , M. Aubry and B. Russell, ICCV…☆21Aug 15, 2023Updated 2 years ago
- slides for deep learning courses☆19Nov 27, 2020Updated 5 years ago
- A comprehensive collection of recent papers on graph deep learning☆3,077Dec 20, 2020Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Your new Mentor for Data Science E-Learning.☆14,334Oct 14, 2025Updated 7 months ago
- 南瓜书:《机器学习》(西瓜书)公式详解☆25,818Apr 22, 2026Updated last month
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Jan 3, 2019Updated 7 years ago
- 《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning☆18,790Apr 26, 2026Updated 3 weeks ago
- ☆31Mar 10, 2019Updated 7 years ago
- Share some useful guides and references about how to shift AI models to real world products or projects.☆634Nov 6, 2020Updated 5 years ago
- Python notebooks for demonstrating various ideas, APIs, libraries.☆33Jul 29, 2017Updated 8 years ago
- ☆221Dec 13, 2019Updated 6 years ago
- Simulating multiple card counting strategies to find the best probable outcome when playing Blackjack.☆33Sep 18, 2021Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A collection of some datasets for segmentation / saliency detection. Welcome to PR...☆631Sep 11, 2025Updated 8 months ago
- Official repository for "Bridging Adversarial Robustness and Gradient Interpretability".☆29May 2, 2019Updated 7 years ago
- This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.☆4,351Jul 25, 2024Updated last year
- ☆58Mar 13, 2026Updated 2 months ago
- My master thesis in which we predict mortality on ICU☆12Oct 3, 2019Updated 6 years ago
- ☆84Jul 5, 2021Updated 4 years ago
- A collection of various deep learning architectures, models, and tips☆17,502Feb 8, 2024Updated 2 years ago