yung-web / MathML
Mathematics for Machine Learning Lecture Notes
☆33Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for MathML
- Unofficial implementation in Python porting of the book "Algorithms for Optimization" (2019) MIT Press by By Mykel J. Kochenderfer and Ti…☆44Updated last year
- Predicting the Sales using Time-series forecasting for month-wise data.☆17Updated 3 years ago
- ☆39Updated 2 years ago
- ☆70Updated last year
- Enhancing Deep Learning with Bayesian Inference, published by Packt☆31Updated last month
- Production-ready template for PyTorch Deep Learning Projects☆9Updated 2 years ago
- ☆46Updated last month
- Deep Learning and XAI Techniques for Anomaly Detection, published by Packt☆36Updated last year
- This repository is a curated collection of information (keywords, papers, libraries, books, etc.) about counterfactual explanations🙃☆14Updated 2 years ago
- SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)☆16Updated last year
- Multiple quantiles estimation model maintaining non-crossing condition (or monotone quantile condition) using LightGBM and XGBoost☆26Updated this week
- 🏟☆26Updated 4 years ago
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆19Updated 9 months ago
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆83Updated 6 months ago
- Benchmark time series data sets for PyTorch☆34Updated 9 months ago
- ☆42Updated 3 months ago
- In this repository, I will try to solve interview questions that are mostly about probability theory and stats.☆13Updated 2 years ago
- ☆11Updated 4 years ago
- Awesome list and projects of Time Series☆25Updated last year
- code for "Neural Jump Ordinary Differential Equations"☆27Updated last year
- Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.☆26Updated 4 months ago
- nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets☆63Updated last year
- ☆15Updated 8 months ago
- Code related to different aspects of conformal learning☆15Updated last year
- Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.☆31Updated last year
- PyTorch implementation for OCT-GAN Neural ODE-based Conditional Tabular GANs (WWW 2021)☆14Updated 2 years ago
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆43Updated 2 years ago
- Code repository of ml-without-tears blog: https://mlwithouttears.com/☆34Updated 6 months ago
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆12Updated 4 months ago
- ☆12Updated 2 years ago