Kaleidophon / deep-significance

Related projects ⓘ

Alternatives and complementary repositories for deep-significance

• autonlab / weasel
  Weakly Supervised End-to-End Learning (NeurIPS 2021)
  ☆153Updated last year
• robustness-gym / robustness-gym
  Robustness Gym is an evaluation toolkit for machine learning.
  ☆440Updated 2 years ago
• g8a9 / ferret
  A python package for benchmarking interpretability techniques on Transformers.
  ☆212Updated last month
• suinleelab / path_explain
  A repository for explaining feature attributions and feature interactions in deep neural networks.
  ☆185Updated 2 years ago
• microsoft / ASTRA
  Self-training with Weak Supervision (NAACL 2021)
  ☆157Updated last year
• f-dangel / cockpit
  Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
  ☆473Updated 2 years ago
• GEM-benchmark / NL-Augmenter
  NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations
  ☆778Updated 6 months ago
• HazyResearch / domino
  ☆134Updated last year
• Lightning-Universe / lightning-transformers
  Flexible components pairing 🤗 Transformers with Pytorch Lightning
  ☆611Updated 2 years ago
• LaihoE / did-it-spill
  Check if you have training samples in your test set
  ☆64Updated 2 years ago
• y0ast / slurm-for-ml
  A Machine Learning workflow for Slurm.
  ☆146Updated 3 years ago
• richarddwang / electra_pytorch
  Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)
  ☆325Updated 10 months ago
• AndreasMadsen / python-textualheatmap
  Create interactive textual heat maps for Jupiter notebooks
  ☆196Updated 5 months ago
• jacobgil / confidenceinterval
  The long missing library for python confidence intervals
  ☆132Updated 5 months ago
• twsl / whos-there
  The spiritual successor to knockknock for PyTorch Lightning, get notified when your training ends
  ☆76Updated this week
• craffel / dl3d-seminar
  Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data
  ☆302Updated 4 years ago
• lucidrains / electra-pytorch
  A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch
  ☆222Updated last year
• copenlu / ALPS_2021
  XAI Tutorial for the Explainable AI track in the ALPS winter school 2021
  ☆58Updated 3 years ago
• dpressel / mint
  MinT: Minimal Transformer Library and Tutorials
  ☆248Updated 2 years ago
• clementchadebec / pyraug
  Data Augmentation with Variational Autoencoders (TPAMI)
  ☆136Updated 2 years ago
• archinetai / surgeon-pytorch
  A library to inspect and extract intermediate layers of PyTorch models.
  ☆470Updated 2 years ago
• yifding / hetseq
  HetSeq: Distributed GPU Training on Heterogeneous Infrastructure
  ☆106Updated last year
• awaelchli / pytorch-lightning-snippets
  A collection of code snippets for my PyTorch Lightning projects
  ☆107Updated 3 years ago
• clarkkev / attention-analysis
  ☆456Updated 3 years ago
• webis-de / small-text
  Active Learning for Text Classification in Python
  ☆561Updated this week
• cdpierse / transformers-interpret
  Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
  ☆1,294Updated last year
• TorchDrift / TorchDrift
  Drift Detection for your PyTorch Models
  ☆312Updated 2 years ago
• google-research / robustness_metrics
  ☆466Updated 3 months ago
• mertensu / transformer-tutorial
  Visualising the Transformer encoder
  ☆111Updated 4 years ago
• JieyuZ2 / Awesome-Weak-Supervision
  A curated list of programmatic weak supervision papers and resources
  ☆187Updated last year