Alternatives and similar repositories for deep-significance:

Users that are interested in deep-significance are comparing it to the libraries listed below

• autonlab / weasel
  Weakly Supervised End-to-End Learning (NeurIPS 2021)
  ☆157Updated last year
• g8a9 / ferret
  A python package for benchmarking interpretability techniques on Transformers.
  ☆213Updated 4 months ago
• robustness-gym / robustness-gym
  Robustness Gym is an evaluation toolkit for machine learning.
  ☆442Updated 2 years ago
• awaelchli / pytorch-lightning-snippets
  A collection of code snippets for my PyTorch Lightning projects
  ☆107Updated 4 years ago
• suinleelab / path_explain
  A repository for explaining feature attributions and feature interactions in deep neural networks.
  ☆186Updated 3 years ago
• Lightning-Universe / lightning-transformers
  Flexible components pairing 🤗 Transformers with Pytorch Lightning
  ☆612Updated 2 years ago
• richarddwang / electra_pytorch
  Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)
  ☆326Updated last year
• EFS-OpenSource / calibration-framework
  The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …
  ☆353Updated 6 months ago
• jacobgil / confidenceinterval
  The long missing library for python confidence intervals
  ☆137Updated 8 months ago
• archinetai / surgeon-pytorch
  A library to inspect and extract intermediate layers of PyTorch models.
  ☆471Updated 2 years ago
• craffel / dl3d-seminar
  Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data
  ☆303Updated 4 years ago
• webis-de / small-text
  Active Learning for Text Classification in Python
  ☆605Updated 3 weeks ago
• twsl / whos-there
  The spiritual successor to knockknock for PyTorch Lightning, get notified when your training ends
  ☆76Updated 2 months ago
• p-lambda / wilds
  A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
  ☆558Updated last year
• microsoft / ASTRA
  Self-training with Weak Supervision (NAACL 2021)
  ☆157Updated last year
• lucidrains / electra-pytorch
  A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch
  ☆221Updated last year
• dpressel / mint
  MinT: Minimal Transformer Library and Tutorials
  ☆252Updated 2 years ago
• HazyResearch / domino
  ☆135Updated last year
• LaihoE / did-it-spill
  Check if you have training samples in your test set
  ☆64Updated 2 years ago
• mertensu / transformer-tutorial
  Visualising the Transformer encoder
  ☆111Updated 4 years ago
• s-nlp / annotated-transformer
  http://nlp.seas.harvard.edu/2018/04/03/attention.html
  ☆63Updated 3 years ago
• y0ast / slurm-for-ml
  A Machine Learning workflow for Slurm.
  ☆149Updated 4 years ago
• f-dangel / cockpit
  Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
  ☆474Updated 2 years ago
• acmi-lab / cmu-10721-philosophy-machine-intelligence
  Official repository for CMU Machine Learning Department's 10721: "Philosophical Foundations of Machine Intelligence".
  ☆262Updated last year
• frederick0329 / TracIn
  Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)
  ☆226Updated 3 years ago
• AndreasMadsen / python-textualheatmap
  Create interactive textual heat maps for Jupiter notebooks
  ☆196Updated 8 months ago
• IntelLabs / academic-budget-bert
  Repository containing code for "How to Train BERT with an Academic Budget" paper
  ☆311Updated last year
• yueyu1030 / COSINE
  [NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self…
  ☆201Updated 2 years ago
• grok-ai / nn-template
  Generic template to bootstrap your PyTorch project.
  ☆639Updated last year
• google-research / robustness_metrics
  ☆468Updated 6 months ago