Alternatives and similar repositories for sdtt

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

• wmn-231314 / diffusion-data-constraint
  Official PyTorch implementation and models for paper "Diffusion Beats Autoregressive in Data-Constrained Settings". We find diffusion mod…
  ☆120Updated last month
• dvruette / gidd
  Code accompanying the paper "Generalized Interpolating Discrete Diffusion"
  ☆113Updated 8 months ago
• SakanaAI / CycleQD
  CycleQD is a framework for parameter space model merging.
  ☆48Updated last year
• zhixuan-lin / forgetting-transformer
  [ICLR 2025 & COLM 2025] Official PyTorch implementation of the Forgetting Transformer and Adaptive Computation Pruning
  ☆137Updated last month
• google-deepmind / md4
  Official Jax Implementation of MD4 Masked Diffusion Models
  ☆153Updated 11 months ago
• ChenWu98 / algorithmic-creativity
  [ICML 2025] Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction
  ☆84Updated 8 months ago
• facebookresearch / MemoryMosaics
  Memory Mosaics are networks of associative memories working in concert to achieve a prediction task.
  ☆57Updated last year
• JinjieNi / dlms-are-super-data-learners
  The official github repo for "Diffusion Language Models are Super Data Learners".
  ☆221Updated 3 months ago
• kuleshov-group / remdm
  Remasking Discrete Diffusion Models with Inference-Time Scaling
  ☆66Updated this week
• kotoba-tech / kotomamba
  Mamba training library developed by kotoba technologies
  ☆71Updated 2 years ago
• luchris429 / DiscoPOP
  Code for Discovering Preference Optimization Algorithms with and for Large Language Models
  ☆65Updated last year
• SakanaAI / Sudoku-Bench
  An AI benchmark for creative, human-like problem solving using Sudoku variants
  ☆158Updated last month
• martin-marek / batch-size
  📄Small Batch Size Training for Language Models
  ☆80Updated 4 months ago
• fal-ai-community / nano-mdm
  Tiny re-implementation of MDM in style of LLaDA and nano-gpt speedrun
  ☆56Updated 11 months ago
• igul222 / plaid
  ☆111Updated 2 years ago
• HKUNLP / diffusion-vs-ar
  [ICLR 2025] Code for the paper "Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning"
  ☆86Updated 11 months ago
• TianjinYellow / SPAM-Optimizer
  ☆36Updated 11 months ago
• HKUNLP / DiffuLLaMA
  [ICLR2025] DiffuGPT and DiffuLLaMA: Scaling Diffusion Language Models via Adaptation from Autoregressive Models
  ☆362Updated 8 months ago
• Sphere-AI-Lab / fda
  Model Merging with Functional Dual Anchors
  ☆45Updated 2 months ago
• tokenbender / mHC-manifold-constrained-hyper-connections
  implementations and experimentation on mHC by deepseek - https://arxiv.org/abs/2512.24880
  ☆290Updated last week
• amorehead / jvp_flash_attention
  Flash Attention Triton kernel with support for second-order derivatives
  ☆144Updated last week
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆89Updated last year
• Leiay / looped_transformer
  ☆34Updated 2 years ago
• goombalab / phi-mamba
  Official implementation of Phi-Mamba. A MOHAWK-distilled model (Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Mode…
  ☆119Updated last year
• SakanaAI / DroPE
  Extending the Context of Pretrained LLMs by Dropping Their Positional Embedding
  ☆203Updated last month
• iwiwi / epochraft-hf-fsdp
  Example of using Epochraft to train HuggingFace transformers models with PyTorch FSDP
  ☆11Updated 2 years ago
• LIONS-EPFL / scion
  ☆53Updated last month
• bluorion-com / ZClip
  Official implementation of the paper: "ZClip: Adaptive Spike Mitigation for LLM Pre-Training".
  ☆144Updated 2 months ago
• thinking-machines-lab / manifolds
  Supporting code for the blog post on modular manifolds.
  ☆115Updated 4 months ago
• zaydzuhri / softpick-attention
  Landing repository for the paper "Softpick: No Attention Sink, No Massive Activations with Rectified Softmax"
  ☆87Updated 5 months ago