Jupyter Notebooks from book UNDERSTANDING DEEP LEARNING (Prof Simon Prince) that I could solve.
☆18Mar 20, 2024Updated 2 years ago
Alternatives and similar repositories for SOLUTIONS_NOTEBOOKS_UDL
Users that are interested in SOLUTIONS_NOTEBOOKS_UDL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PDB-CAT aims to automatically categorize the mmCIF PDB structures based on the type of interaction between atoms in the protein and the l…☆16Jan 21, 2026Updated 8 months ago
- An automatic differentiation system for dense and sparse problems☆13Jan 16, 2025Updated last year
- SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017☆27Aug 1, 2017Updated 9 years ago
- Option, Try, Either, and some more common basic DataTypes☆13Jul 1, 2023Updated 3 years ago
- fanuc mtconnect adapter☆12Jan 22, 2016Updated 10 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.
- An implementation of Self-Calibrating Conformal Prediction, accepted to Neurips 2024. SC-CP combines Venn-Abers calibration and conformal…☆14Apr 16, 2026Updated 5 months ago
- This is the core functions needed by the `tsmp` package. The low level and carefully checked mathematical functions are here. These are i…☆12Sep 14, 2026Updated last week
- Belief state estimation for Stanford's CS238/AA228 Decision Making Under Uncertainty☆10Nov 16, 2023Updated 2 years ago
- Tools for Measuring Classification Performance for R, Python and Spark☆13Jun 5, 2018Updated 8 years ago
- A rust implementation of Andrej Karpathy's Micrograd☆15Apr 28, 2025Updated last year
- ☆10Dec 29, 2024Updated last year
- Paper repository for "Double Robust Two-Way Fixed Effect Regression for Panel Data"☆10Mar 4, 2024Updated 2 years ago
- R Package for Spatial Conformal Prediction☆10Aug 6, 2022Updated 4 years ago
- Mojo 🔥 Language Syntax Highlighting for Vim☆16Feb 28, 2026Updated 6 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Website and blog for the research group of Mark J. van der Laan☆11Jul 1, 2021Updated 5 years ago
- Orthogonal Quantile Regression☆11Oct 21, 2021Updated 4 years ago
- A comparison of some conformal quantile regression methods.☆12Sep 14, 2019Updated 7 years ago
- Implementation of multi-output conformal regression methods☆13Sep 23, 2025Updated 11 months ago
- Regression-based multi-period difference-in-differences with heterogenous treatment effects☆13Mar 11, 2022Updated 4 years ago
- ☆11Sep 25, 2025Updated 11 months ago
- Causal decomposition analysis☆12Apr 17, 2022Updated 4 years ago
- Rust-GPU org website☆16Jul 8, 2026Updated 2 months ago
- Repository for my machine learning students during the Spring 2022 semester☆26Sep 1, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- An R package "rfinterval": Predictive Inference on Random Forests☆12Jul 19, 2019Updated 7 years ago
- ☆15Feb 2, 2026Updated 7 months ago
- R package for fast maximum-likelihood estimation of mixture proportions using SQP.☆11Dec 21, 2023Updated 2 years ago
- A package for fast help and snippets☆15Feb 15, 2022Updated 4 years ago
- ☆15Sep 18, 2019Updated 7 years ago
- ☆13Jun 13, 2022Updated 4 years ago
- Transformer Conformal Prediction for Time Series☆19Apr 13, 2026Updated 5 months ago
- ☆20May 5, 2026Updated 4 months ago
- This is a Julia package to estimate demand nonparametrically. Constraints on the nonparametric demand functions can be incorporated simpl…☆14Sep 8, 2026Updated last week
- 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 Gentle Principled Introduction to Deep Reinforcement Learning☆19Apr 4, 2025Updated last year
- Prototypes for next-generation package caches in Julia☆19Sep 29, 2022Updated 3 years ago
- Official Code for the ICCPS 2023 conference paper (nominated for best paper award) and ICML 2022 PODS workshop paper.☆16Nov 15, 2024Updated last year
- ☆18Jul 22, 2021Updated 5 years ago
- ☆19Jul 6, 2023Updated 3 years ago
- Standalone implementation of Conformal Prediction and other distribution-free Machine Learning methods.☆15Aug 23, 2019Updated 7 years ago
- ☆17Jul 26, 2023Updated 3 years ago