Sandbox for generating visualizations of the bias-variance tradeoff for Machine Learning at Berkeley's blog.
☆13Jun 26, 2017Updated 8 years ago
Alternatives and similar repositories for bias-variance-tradeoff
Users that are interested in bias-variance-tradeoff are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- edXSpark☆21Sep 4, 2016Updated 9 years ago
- Notas del curso de Simulación☆13Feb 3, 2026Updated 3 months ago
- ☆14Mar 15, 2025Updated last year
- Official code release for the paper Trapped in texture bias? A large scale comparison of deep instance segmentation, accepted at ECCV 202…☆16Jan 16, 2024Updated 2 years ago
- Missing value imputation and evaluation, especially for metabolomics data sets☆19Jun 27, 2018Updated 7 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 simple example of VAEs with KANs☆12May 17, 2024Updated last year
- ☆18May 30, 2025Updated 11 months ago
- Optimizable stack of images at different resolutions, a useful representation of images for deep learning tasks. Docs: https://johnowhita…☆11Sep 8, 2022Updated 3 years ago
- Official code base for NeurIPS 2021 SVRHM Workshop poster "On the use of Cortical Magnification and Saccades as Biological Proxies for Da…☆13Jun 28, 2023Updated 2 years ago
- home of the bear's lair☆10May 19, 2017Updated 8 years ago
- Replication materials for "Algorithmic decision making and the cost of fairness," by Corbett-Davies et al.☆11Jun 1, 2017Updated 8 years ago
- An R package for feature selection in topological spaces.☆10Aug 12, 2021Updated 4 years ago
- Scraps of random machine learning code☆15Oct 19, 2016Updated 9 years ago
- Course materials for Stat 20 and Stat 131A, Spring 2017, at UC Berkeley☆17May 21, 2017Updated 8 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.
- Processing for Python☆12Apr 11, 2017Updated 9 years ago
- Simply Statistics on Github☆25Nov 12, 2021Updated 4 years ago
- Deep Manifold Traversal☆14Nov 14, 2016Updated 9 years ago
- Course materials for Stat 133, fall 2016, at UC Berkeley☆15Feb 16, 2017Updated 9 years ago
- Automatic PCG classification for heart disease screening☆11Aug 2, 2018Updated 7 years ago
- Preprocessing and analysis scripts for the dPCA paper (eLife 2016)☆10Jul 15, 2016Updated 9 years ago
- Bayesian Deep Learning Library☆14Oct 27, 2023Updated 2 years ago
- A Python library for variational inference with normalizing flow and annealing☆15Mar 13, 2025Updated last year
- Adversarially Learned Inference implemented with Keras2☆12Aug 1, 2019Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Examples of kallisto + sleuth☆11May 18, 2017Updated 8 years ago
- Molecular analysis of pre-invasive lung cancer samples☆14Jan 18, 2019Updated 7 years ago
- Convenience wrapper around Aggdraw for easy lightweight drawing☆13Jul 21, 2023Updated 2 years ago
- Advanced R programming course at EMBL, 3-4 April 2017☆11Apr 5, 2017Updated 9 years ago
- ☆10Sep 17, 2020Updated 5 years ago
- ☆27Sep 4, 2020Updated 5 years ago
- ☆20Aug 20, 2016Updated 9 years ago
- Code for "Don't trust your eyes: on the (un)reliability of feature visualizations" (ICML 2024)☆34Nov 15, 2023Updated 2 years ago
- Repository for the Epigenomics Tutorial hold at ISMB 2017 in Prague☆14Aug 19, 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.
- A real-time biosignal feature extraction tool for Python☆13May 21, 2022Updated 3 years ago
- R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling☆13Sep 21, 2024Updated last year
- Multi-layer Recurrent Neural Networks (LSTM) for character-level language models in Python using Tensorflow☆15Jan 13, 2018Updated 8 years ago
- SpectralClustering_RandomBinning (SC_RB) is a simple code for scaling up spectral clustering on large-scale datasets.☆12Jan 17, 2019Updated 7 years ago
- A document laying out the vision for Aletheia☆15Nov 24, 2019Updated 6 years ago
- An exploration of artificial intelligence, with the help of math, history and Python☆18Nov 30, 2017Updated 8 years ago
- Robust Vision Benchmark☆23Feb 19, 2018Updated 8 years ago