Alternatives and similar repositories for hydra-article-code

Users that are interested in hydra-article-code are comparing it to the libraries listed below

• sxjscience / automl_multimodal_benchmark
  Repository for Multimodal AutoML Benchmark
  ☆66Updated 4 years ago
• sIncerass / powernorm
  [ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845
  ☆120Updated 4 years ago
• thegregyang / LossUpAccUp
  Loss and accuracy go opposite ways...right?
  ☆95Updated 5 years ago
• ermongroup / pirank
  PiRank: Learning to Rank via Differentiable Sorting
  ☆61Updated 2 years ago
• rish-16 / aft-pytorch
  Unofficial PyTorch implementation of Attention Free Transformer (AFT) layers by Apple Inc.
  ☆244Updated 3 years ago
• wilile26811249 / Fastformer-PyTorch
  Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."
  ☆132Updated 4 years ago
• epfml / collaborative-attention
  Code for Multi-Head Attention: Collaborate Instead of Concatenate
  ☆153Updated 2 years ago
• wuch15 / Fastformer
  A pytorch &keras implementation and demo of Fastformer.
  ☆191Updated 3 years ago
• mtsang / interaction_interpretability
  Feature Interaction Interpretability via Interaction Detection
  ☆35Updated 2 years ago
• ItzikMalkiel / MTAdam
  MTAdam: Automatic Balancing of Multiple Training Loss Terms
  ☆36Updated 5 years ago
• takashiishida / flooding
  [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"
  ☆95Updated 3 years ago
• snap-stanford / bc-emb
  ☆32Updated 3 years ago
• cgnorthcutt / cleanlab
  Official cleanlab repo is at https://github.com/cleanlab/cleanlab
  ☆58Updated 2 years ago
• LARS-research / AutoML-Tutorial
  Tutorials about AutoML
  ☆87Updated 3 years ago
• rjagerman / pytorchltr
  Learning to Rank in PyTorch
  ☆91Updated 2 years ago
• lonePatient / lookahead_pytorch
  pytorch implement of Lookahead Optimizer
  ☆195Updated 3 years ago
• schwartz-lab-NLP / papa
  Code for the PAPA paper
  ☆27Updated 3 years ago
• ryanchankh / redunet_demo
  ☆84Updated 4 years ago
• MathInf / toroidal
  a lightweight transformer library for PyTorch
  ☆72Updated 4 years ago
• ag1988 / top_k_attention
  The accompanying code for "Memory-efficient Transformers via Top-k Attention" (Ankit Gupta, Guy Dar, Shaya Goodman, David Ciprut, Jonatha…
  ☆70Updated 4 years ago
• JetRunner / PABEE
  Code for the paper "BERT Loses Patience: Fast and Robust Inference with Early Exit".
  ☆66Updated 4 years ago
• twistedcubic / attention-rank-collapse
  [ICML 2021 Oral] We show pure attention suffers rank collapse, and how different mechanisms combat it.
  ☆170Updated 4 years ago
• cloneofsimo / realformer-pytorch
  Implementation of RealFormer using pytorch
  ☆101Updated 5 years ago
• yuanwei2019 / EAdam-optimizer
  Some improvements on Adam
  ☆28Updated 5 years ago
• MaxHalford / pytorch-resample
  🎲 Iterable dataset resampling in PyTorch
  ☆91Updated 4 years ago
• ischlag / fast-weight-transformers
  Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.
  ☆111Updated 4 years ago
• yaohungt / TransformerDissection
  [EMNLP'19] Summary for Transformer Understanding
  ☆53Updated 6 years ago
• ahthie7u / cockpit
  Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"
  ☆31Updated 5 years ago
• leaderj1001 / Synthesizer-Rethinking-Self-Attention-Transformer-Models
  Implementing SYNTHESIZER: Rethinking Self-Attention in Transformer Models using Pytorch
  ☆71Updated 5 years ago
• chentingpc / dpq_embedding_compression
  Differentiable Product Quantization for End-to-End Embedding Compression.
  ☆64Updated 3 years ago