Alternatives and similar repositories for forward-forward-pytorch:

Users that are interested in forward-forward-pytorch are comparing it to the libraries listed below

• SamsungSAILMontreal / ghn3
  Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
  ☆30Updated 4 months ago
• gregorbachmann / scaling_mlps
  ☆51Updated 7 months ago
• google-research / growneuron
  ☆54Updated 5 months ago
• shikaiqiu / compute-better-spent
  ☆50Updated 3 months ago
• facebookresearch / LAWT
  Code for papers Linear Algebra with Transformers (TMLR) and What is my Math Transformer Doing? (AI for Maths Workshop, Neurips 2022)
  ☆64Updated 5 months ago
• lucidrains / token-shift-gpt
  Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing
  ☆47Updated 2 years ago
• fattorib / Flax-ResNets
  CIFAR10 ResNets implemented in JAX+Flax
  ☆11Updated 2 years ago
• stanislavfort / dissect-git-re-basin
  Replicating and dissecting the git-re-basin project in one-click-replication Colabs
  ☆36Updated 2 years ago
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆28Updated last year
• VITA-Group / ToST
  [ICML2022] Training Your Sparse Neural Network Better with Any Mask. Ajay Jaiswal, Haoyu Ma, Tianlong Chen, ying Ding, and Zhangyang Wang
  ☆27Updated 2 years ago
• lucidrains / autoregressive-linear-attention-cuda
  CUDA implementation of autoregressive linear attention, with all the latest research findings
  ☆44Updated last year
• ahennequ / pytorch-custom-mma
  ☆29Updated 2 years ago
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆57Updated last year
• Ping-C / optimizer
  This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…
  ☆34Updated last year
• jiaweizzhao / ZerO-initialization
  ☆72Updated 2 years ago
• lucidrains / gateloop-transformer
  Implementation of GateLoop Transformer in Pytorch and Jax
  ☆87Updated 7 months ago
• AndyShih12 / LongHorizonTemperatureScaling
  PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
  ☆20Updated last year
• epfml / DenseFormer
  ☆78Updated 9 months ago
• facebookresearch / projUNN
  Fast training of unitary deep network layers from low-rank updates
  ☆28Updated 2 years ago
• aniquetahir / JORA
  JORA: JAX Tensor-Parallel LoRA Library (ACL 2024)
  ☆32Updated 8 months ago
• insuhan / hyper-attn
  ☆74Updated last year
• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆82Updated 11 months ago
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆67Updated 2 months ago
• Qualcomm-AI-research / llm-surgeon
  ☆25Updated 7 months ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆79Updated last year
• lucidrains / einops-exts
  Implementation of some personal helper functions for Einops, my most favorite tensor manipulation library ❤️
  ☆53Updated 2 years ago
• mgmalek / efficient_cross_entropy
  ☆83Updated 7 months ago
• Johswald / awesome-hypernetworks
  ☆59Updated 3 years ago
• expz / annotated-hyena
  An annotated implementation of the Hyena Hierarchy paper
  ☆31Updated last year
• epfml / llm-baselines
  nanoGPT-like codebase for LLM training
  ☆83Updated this week