Alternatives and similar repositories for not-from-scratch

Users that are interested in not-from-scratch are comparing it to the libraries listed below

• Cranial-XIX / longhorn
  Official PyTorch Implementation of the Longhorn Deep State Space Model
  ☆54Updated 8 months ago
• OpenNLPLab / HGRN
  [NeurIPS 2023 spotlight] Official implementation of HGRN in our NeurIPS 2023 paper - Hierarchically Gated Recurrent Neural Network for Se…
  ☆66Updated last year
• machine-discovery / deer
  Parallelizing non-linear sequential models over the sequence length
  ☆53Updated last month
• sustcsonglin / mamba-triton
  ☆49Updated last year
• shawntan / stickbreaking-attention
  Stick-breaking attention
  ☆59Updated last month
• gregorbachmann / Next-Token-Failures
  ☆89Updated last year
• radarFudan / mamba-minimal-jax
  ☆31Updated 8 months ago
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆81Updated 9 months ago
• HazyResearch / prefix-linear-attention
  ☆56Updated last year
• OpenNLPLab / HGRN2
  HGRN2: Gated Linear RNNs with State Expansion
  ☆55Updated 11 months ago
• dangxingyu / rnn-icrag
  Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"
  ☆27Updated last year
• Benjamin-Walker / selective-ssms-and-linear-cdes
  Code for "Theoretical Foundations of Deep Selective State-Space Models" (NeurIPS 2024)
  ☆15Updated 6 months ago
• berlino / seq_icl
  ☆53Updated last year
• BlinkDL / LinearAttentionArena
  Here we will test various linear attention designs.
  ☆62Updated last year
• zhixuan-lin / forgetting-transformer
  [ICLR 2025] Official PyTorch implementation of "Forgetting Transformer: Softmax Attention with a Forget Gate"
  ☆118Updated last month
• HKUNLP / diffusion-vs-ar
  [ICLR 2025] Code for the paper "Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning"
  ☆68Updated 5 months ago
• Asap7772 / understanding-rlhf
  Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…
  ☆30Updated last year
• srush / mamba-primer
  ☆37Updated last year
• radarFudan / Curse-of-memory
  Curse-of-memory phenomenon of RNNs in sequence modelling
  ☆19Updated 2 months ago
• igul222 / plaid
  ☆104Updated 2 years ago
• Doraemonzzz / hgru-pytorch
  ☆27Updated last year
• katiekang1998 / reasoning_generalization
  ☆34Updated 6 months ago
• lucidrains / infini-transformer-pytorch
  Implementation of Infini-Transformer in Pytorch
  ☆110Updated 7 months ago
• jopetty / word-problem
  Experiments on the impact of depth in transformers and SSMs.
  ☆32Updated 9 months ago
• google-deepmind / spectral_ssm
  ☆33Updated last year
• abaheti95 / LoL-RL
  Advantage Leftover Lunch Reinforcement Learning (A-LoL RL): Improving Language Models with Advantage-based Offline Policy Gradients
  ☆26Updated 10 months ago
• jysohn1108 / Looped-Transformer
  Official implementation of the transformer (TF) architecture suggested in a paper entitled "Looped Transformers as Programmable Computers…
  ☆27Updated 2 years ago
• jihoontack / MAC
  Online Adaptation of Language Models with a Memory of Amortized Contexts (NeurIPS 2024)
  ☆63Updated last year
• facebookresearch / rlfh-gen-div
  This is code for most of the experiments in the paper Understanding the Effects of RLHF on LLM Generalisation and Diversity
  ☆44Updated last year
• formll / resolving-scaling-law-discrepancies
  ☆20Updated last year