Kaleidophon / deep-significanceLinks
Enabling easy statistical significance testing for deep neural networks.
☆338Updated last year
Alternatives and similar repositories for deep-significance
Users that are interested in deep-significance are comparing it to the libraries listed below
Sorting:
- Weakly Supervised End-to-End Learning (NeurIPS 2021)☆156Updated 2 years ago
- Robustness Gym is an evaluation toolkit for machine learning.☆443Updated 3 years ago
- A repository for explaining feature attributions and feature interactions in deep neural networks.☆189Updated 3 years ago
- A python package for benchmarking interpretability techniques on Transformers.☆213Updated last year
- Self-training with Weak Supervision (NAACL 2021)☆162Updated 2 years ago
- ☆139Updated last year
- MinT: Minimal Transformer Library and Tutorials☆258Updated 3 years ago
- Check if you have training samples in your test set☆64Updated 3 years ago
- Language Modeling Example with Transformers and PyTorch Lighting☆65Updated 4 years ago
- Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥…☆475Updated this week
- The long missing library for python confidence intervals☆143Updated last year
- Create interactive textual heat maps for Jupiter notebooks☆196Updated last year
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆484Updated 3 years ago
- A collection of code snippets for my PyTorch Lightning projects☆107Updated 4 years ago
- A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch☆235Updated 2 years ago
- Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data☆304Updated 5 years ago
- Flexible components pairing 🤗 Transformers with Pytorch Lightning☆612Updated 2 years ago
- XAI Tutorial for the Explainable AI track in the ALPS winter school 2021☆58Updated 4 years ago
- ☆471Updated 2 weeks ago
- Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)☆330Updated last year
- A curated list of programmatic weak supervision papers and resources☆190Updated 2 years ago
- diagNNose is a Python library that facilitates a broad set of tools for analysing hidden activations of neural models.☆82Updated 2 years ago
- Repository containing code for "How to Train BERT with an Academic Budget" paper☆315Updated 2 years ago
- Deep Learning project template best practices with Pytorch Lightning, Hydra, Tensorboard.☆159Updated 4 years ago
- Official repository for CMU Machine Learning Department's 10721: "Philosophical Foundations of Machine Intelligence".☆262Updated 2 years ago
- Drift Detection for your PyTorch Models☆323Updated 3 years ago
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions☆258Updated last year
- The "tl;dr" on a few notable transformer papers (pre-2022).☆190Updated 2 years ago
- Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics☆205Updated 3 years ago
- Unit Testing for pytorch, based on mltest☆312Updated 5 years ago