decile-team / cordsLinks
Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.
☆342Updated 2 years ago
Alternatives and similar repositories for cords
Users that are interested in cords are comparing it to the libraries listed below
Sorting:
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆578Updated last year
- ☆470Updated 5 months ago
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆154Updated 2 years ago
- 🛠️ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet☆186Updated 2 years ago
- Awesome coreset/core-set/subset/sample selection works.☆181Updated last year
- Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)☆237Updated 3 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆366Updated last year
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆152Updated 2 years ago
- An implementation of the BADGE batch active learning algorithm.☆208Updated last year
- 👽 Out-of-Distribution Detection with PyTorch☆316Updated 3 months ago
- A benchmark of data-centric tasks from across the machine learning lifecycle.☆72Updated 3 years ago
- ☆208Updated 2 years ago
- Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization☆343Updated last year
- Optimal Transport Dataset Distance☆170Updated 3 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆158Updated 3 years ago
- Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch☆343Updated last year
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆151Updated 2 years ago
- A clean and simple data loading library for Continual Learning☆439Updated 2 years ago
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"☆184Updated 4 years ago
- Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory☆438Updated last year
- Drift Detection for your PyTorch Models☆322Updated 3 years ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆74Updated 2 years ago
- Reusable BatchBALD implementation☆79Updated last year
- Compare neural networks by their feature similarity☆375Updated 2 years ago
- Calibration of Convolutional Neural Networks☆170Updated 2 years ago
- ☆139Updated last year
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆482Updated 3 years ago
- ☆605Updated last month
- Awesome Active Learning Paper List☆143Updated last year