Alternatives and similar repositories for NoTrainNoGain

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

• abhishekpanigrahi1996 / transformer_in_transformer
  ☆45Updated 2 years ago
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆86Updated last year
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆32Updated 2 years ago
• varunnair18 / FISH
  Code for "Training Neural Networks with Fixed Sparse Masks" (NeurIPS 2021).
  ☆59Updated 3 years ago
• JonasGeiping / linear_cross_entropy_loss
  A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.
  ☆73Updated last year
• VITA-Group / Random-MoE-as-Dropout
  [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…
  ☆56Updated 2 years ago
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆100Updated last year
• MadryLab / DsDm
  ☆51Updated last year
• berlino / seq_icl
  ☆53Updated last year
• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆78Updated 2 years ago
• McGill-NLP / length-generalization
  Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023
  ☆138Updated last year
• GSYfate / knnlm-limits
  Official code repo for paper "Great Memory, Shallow Reasoning: Limits of kNN-LMs"
  ☆24Updated 7 months ago
• sustcsonglin / mamba-triton
  ☆51Updated last year
• Qualcomm-AI-research / llm-surgeon
  ☆35Updated last year
• microsoft / SparseMixer
  Sparse Backpropagation for Mixture-of-Expert Training
  ☆29Updated last year
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆97Updated 2 years ago
• berlino / gated_linear_attention
  ☆106Updated last year
• hwang595 / Cuttlefish
  The implementation for MLSys 2023 paper: "Cuttlefish: Low-rank Model Training without All The Tuning"
  ☆44Updated 2 years ago
• LIONS-EPFL / scion
  ☆50Updated 2 months ago
• VITA-Group / Junk_DNA_Hypothesis
  [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…
  ☆16Updated 8 months ago
• mmatena / model_merging
  ☆79Updated 3 years ago
• song-wx / SIFT
  [ICML2024 Spotlight] Fine-Tuning Pre-trained Large Language Models Sparsely
  ☆24Updated last year
• google-deepmind / emergent_in_context_learning
  ☆85Updated last year
• shreyansh26 / Attention-Mask-Patterns
  Using FlexAttention to compute attention with different masking patterns
  ☆47Updated last year
• insuhan / hyper-attn
  ☆83Updated 2 years ago
• gregorbachmann / Next-Token-Failures
  ☆107Updated last year
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆79Updated last year
• guy-dar / embedding-space
  ☆56Updated 2 years ago
• smonsays / hypernetwork-attention
  Official code for the paper "Attention as a Hypernetwork"
  ☆46Updated last year
• tml-epfl / why-weight-decay
  Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]
  ☆69Updated last year