Alternatives and similar repositories for Bitune:

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

• SamsungSAILMontreal / nino
  Code for "Accelerating Training with Neuron Interaction and Nowcasting Networks" [to appear at ICLR 2025]
  ☆18Updated last month
• katiekang1998 / reasoning_generalization
  ☆26Updated last month
• guy-dar / embedding-space
  ☆53Updated last year
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆79Updated last year
• lucidrains / pause-transformer
  Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amount…
  ☆53Updated last year
• IdoAmos / not-from-scratch
  ☆28Updated 3 months ago
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆70Updated 3 months ago
• nverma1 / merging-text-transformers
  Code for "Merging Text Transformers from Different Initializations"
  ☆19Updated last week
• AndyShih12 / LongHorizonTemperatureScaling
  PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
  ☆20Updated last year
• Qualcomm-AI-research / llm-surgeon
  ☆26Updated 8 months ago
• formll / resolving-scaling-law-discrepancies
  ☆16Updated 7 months ago
• RobertCsordas / moeut
  ☆71Updated 5 months ago
• r-three / RAD
  Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
  ☆42Updated last year
• prateeky2806 / ComPEFT
  ☆25Updated last year
• lucidrains / memory-editable-transformer
  My explorations into editing the knowledge and memories of an attention network
  ☆34Updated 2 years ago
• shawntan / stickbreaking-attention
  Stick-breaking attention
  ☆42Updated last month
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆28Updated last year
• abhishekpanigrahi1996 / transformer_in_transformer
  ☆44Updated 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…
  ☆48Updated last year
• ylsung / vl-merging
  PyTorch codes for the paper "An Empirical Study of Multimodal Model Merging"
  ☆38Updated last year
• kyleliang919 / Online-Subspace-Descent
  This repo is based on https://github.com/jiaweizzhao/GaLore
  ☆24Updated 4 months ago
• wang-kee / LiNeS
  Official repository of "LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging"
  ☆24Updated 3 months ago
• jysohn1108 / Looped-Transformer
  Official implementation of the transformer (TF) architecture suggested in a paper entitled "Looped Transformers as Programmable Computers…
  ☆24Updated last year
• MadryLab / DsDm
  ☆46Updated last year
• smonsays / hypernetwork-attention
  Official code for the paper "Attention as a Hypernetwork"
  ☆23Updated 7 months ago
• ml-jku / EVA
  One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation
  ☆36Updated 4 months ago
• dangxingyu / rnn-icrag
  Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"
  ☆25Updated 9 months ago
• tml-epfl / why-weight-decay
  Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]
  ☆60Updated 4 months ago
• sjelassi / transformers_ssm_copy
  ☆30Updated 11 months ago
• kaistAI / factual-knowledge-acquisition
  ☆17Updated 4 months ago