Alternatives and similar repositories for comp790-deep-learning-spring-2022

Users that are interested in comp790-deep-learning-spring-2022 are comparing it to the libraries listed below

• craffel / comp664-deep-learning-spring-2023
  Course repository for the Spring 2023 COMP664 course "Deep Learning" at UNC
  ☆14Updated 2 years ago
• lucidrains / learning-to-expire-pytorch
  An implementation of Transformer with Expire-Span, a circuit for learning which memories to retain
  ☆34Updated 4 years ago
• craffel / comp790-deep-learning-spring-2021
  Course repository for the Spring COMP790 course "Deep Learning" at UNC
  ☆23Updated 3 years ago
• princeton-nlp / DataMUX
  [NeurIPS 2022] DataMUX: Data Multiplexing for Neural Networks
  ☆60Updated 2 years ago
• allenai / contrastive-explanations
  Explaining neural decisions contrastively to alternative decisions.
  ☆25Updated 4 years ago
• benpry / chain-of-thought-metaphor
  This repo contains code for the paper "Psychologically-informed chain-of-thought prompts for metaphor understanding in large language mod…
  ☆14Updated 2 years ago
• sunyt32 / torchscale
  Transformers at any scale
  ☆41Updated last year
• xiamengzhou / training_trajectory_analysis
  [ACL 2023]: Training Trajectories of Language Models Across Scales https://arxiv.org/pdf/2212.09803.pdf
  ☆24Updated last year
• renll / SparseLT
  [EMNLP 2022] Language Model Pre-Training with Sparse Latent Typing
  ☆14Updated 2 years ago
• peterbhase / ExplanationRoles
  Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"
  ☆14Updated 4 years ago
• petezh / OpenD5
  Tasks for describing differences between text distributions.
  ☆16Updated 9 months ago
• allenai / EmbeddingRecycling
  Embedding Recycling for Language models
  ☆38Updated last year
• frankaging / Causal-Distill
  The Codebase for Causal Distillation for Language Models (NAACL '22)
  ☆25Updated 3 years ago
• google-deepmind / streamingqa
  ☆48Updated last year
• rycolab / probing-via-prompting
  ☆11Updated 2 years ago
• EleutherAI / semantic-memorization
  ☆44Updated 6 months ago
• samiraabnar / Bridge
  Making a bridge between NLP models and Brain data
  ☆18Updated 5 years ago
• strubell / 11-767
  Course materials for 11-767
  ☆13Updated 2 years ago
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆58Updated last year
• kyegomez / Reka-Torch
  Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch
  ☆29Updated last week
• Trel725 / forward-forward
  A simple Python implementation of forward-forward NN training by G. Hinton from NeurIPS 2022
  ☆21Updated 2 years ago
• microsoft / AMOS
  [ICLR 2022] Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators
  ☆24Updated last year
• cliang1453 / SAGE
  No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models (ICLR 2022)
  ☆30Updated 3 years ago
• rovle / gpt3-in-context-fitting
  Experiments on GPT-3's ability to fit numerical models in-context.
  ☆14Updated 2 years ago
• sayakpaul / robustness-foundation-models
  This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.
  ☆70Updated 2 years ago
• srush / transformers-bet
  ☆12Updated 3 years ago
• yulang / phrasal-composition-in-transformers
  This repo contains datasets and code for Assessing Phrasal Representation and Composition in Transformers, by Lang Yu and Allyson Ettinge…
  ☆11Updated 3 years ago
• HanGuo97 / soft-Q-learning-for-text-generation
  ☆67Updated 2 years ago
• jxhe / efficient-knnlm
  Pytorch implementation of paper "Efficient Nearest Neighbor Language Models" (EMNLP 2021)
  ☆72Updated 3 years ago
• kaistAI / factual-knowledge-acquisition
  ☆20Updated last month