Alternatives and similar repositories for Data_Acquisition_for_ML_Benchmark

Users that are interested in Data_Acquisition_for_ML_Benchmark are comparing it to the libraries listed below

• gregorbachmann / scaling_mlps
  ☆52Updated last year
• princeton-nlp / DataMUX
  [NeurIPS 2022] DataMUX: Data Multiplexing for Neural Networks
  ☆60Updated 3 years ago
• srush / tangent
  Source-to-Source Debuggable Derivatives in Pure Python
  ☆15Updated 2 years ago
• facebookresearch / DejaVu
  Repository for the paper Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning
  ☆36Updated 2 years ago
• shreyansh26 / Attention-Mask-Patterns
  Using FlexAttention to compute attention with different masking patterns
  ☆47Updated last year
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆81Updated 2 years ago
• lxuechen / ml-swissknife
  An ML research codebase built with friends :)
  ☆26Updated last year
• MadryLab / EditingClassifiers
  ☆96Updated 3 years ago
• RobertCsordas / linear_layer_as_attention
  The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …
  ☆16Updated 8 months ago
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆32Updated 2 years ago
• RAIVNLab / LLC
  ☆13Updated 4 years ago
• shoaibahmed / metadata_archaeology
  Official code for the paper: "Metadata Archaeology"
  ☆19Updated 2 years ago
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆97Updated 2 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
• facebookresearch / adaptive_scheduling
  Experimental scripts for researching data adaptive learning rate scheduling.
  ☆22Updated 2 years ago
• ahennequ / pytorch-custom-mma
  ☆29Updated 3 years ago
• renll / SeqBoat
  [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling
  ☆40Updated 2 years ago
• naver / tldr
  TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectivene…
  ☆127Updated 3 years ago
• tech-srl / layer_norm_expressivity_role
  Code for the paper "On the Expressivity Role of LayerNorm in Transformers' Attention" (Findings of ACL'2023)
  ☆57Updated last year
• eth-easl / fmengine
  Utilities for Training Very Large Models
  ☆58Updated last year
• srush / mamba-scans
  Blog post
  ☆17Updated last year
• amirzandieh / HyperAttention
  Triton Implementation of HyperAttention Algorithm
  ☆48Updated 2 years ago
• data-centric-ai / dcbench
  A benchmark of data-centric tasks from across the machine learning lifecycle.
  ☆71Updated 3 years ago
• lucidrains / autoregressive-linear-attention-cuda
  CUDA implementation of autoregressive linear attention, with all the latest research findings
  ☆46Updated 2 years ago
• lucidrains / einops-exts
  Implementation of some personal helper functions for Einops, my most favorite tensor manipulation library ❤️
  ☆57Updated 3 years ago
• pytorch / torchdistx
  Torch Distributed Experimental
  ☆117Updated last year
• lucidrains / token-shift-gpt
  Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing
  ☆49Updated 4 years ago
• facebookresearch / coocmap
  code for paper "Accessing higher dimensions for unsupervised word translation"
  ☆22Updated 2 years ago
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆82Updated 2 years ago
• srush / LLM-Talk
  ☆53Updated 2 years ago