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:
- A repository for explaining feature attributions and feature interactions in deep neural networks.☆191Updated 3 years ago
- Weakly Supervised End-to-End Learning (NeurIPS 2021)☆157Updated 2 years ago
- Robustness Gym is an evaluation toolkit for machine learning.☆443Updated 3 years ago
- A python package for benchmarking interpretability techniques on Transformers.☆212Updated last year
- Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥…☆475Updated this week
- ☆139Updated 2 years ago
- Self-training with Weak Supervision (NAACL 2021)☆162Updated 2 years ago
- The long missing library for python confidence intervals☆143Updated last year
- Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data☆304Updated 5 years ago
- Check if you have training samples in your test set☆64Updated 3 years ago
- A collection of code snippets for my PyTorch Lightning projects☆107Updated 4 years ago
- A curated list of programmatic weak supervision papers and resources☆190Updated 2 years ago
- A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch☆235Updated 2 years ago
- MinT: Minimal Transformer Library and Tutorials☆259Updated 3 years ago
- Create interactive textual heat maps for Jupiter notebooks☆196Updated last year
- Code for "Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning"☆415Updated last year
- Official repository for CMU Machine Learning Department's 10721: "Philosophical Foundations of Machine Intelligence".☆262Updated 2 years ago
- XAI Tutorial for the Explainable AI track in the ALPS winter school 2021☆58Updated 4 years ago
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆484Updated 3 years ago
- Flexible components pairing 🤗 Transformers with Pytorch Lightning☆612Updated 2 years ago
- ☆471Updated last month
- Deep Learning project template best practices with Pytorch Lightning, Hydra, Tensorboard.☆159Updated 4 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
- HetSeq: Distributed GPU Training on Heterogeneous Infrastructure☆106Updated 2 years ago
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions☆259Updated 2 years ago
- http://nlp.seas.harvard.edu/2018/04/03/attention.html☆62Updated 4 years ago
- Drift Detection for your PyTorch Models☆323Updated 3 years ago
- [NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark☆225Updated last year
- SummVis is an interactive visualization tool for text summarization.☆253Updated 3 years ago
- [NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self…☆205Updated 3 years ago