lucidrains / self-reasoning-tokens-pytorchLinks
Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto
☆57Updated last year
Alternatives and similar repositories for self-reasoning-tokens-pytorch
Users that are interested in self-reasoning-tokens-pytorch are comparing it to the libraries listed below
Sorting:
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆121Updated last year
- Implementation of GateLoop Transformer in Pytorch and Jax☆91Updated last year
- Explorations into adversarial losses on top of autoregressive loss for language modeling☆40Updated this week
- Implementation of Infini-Transformer in Pytorch☆113Updated 11 months ago
- Explorations into the recently proposed Taylor Series Linear Attention☆100Updated last year
- Exploration into the Scaling Value Iteration Networks paper, from Schmidhuber's group☆37Updated last year
- Implementation of Agent Attention in Pytorch☆93Updated last year
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆59Updated 2 years ago
- Implementation of 🌻 Mirasol, SOTA Multimodal Autoregressive model out of Google Deepmind, in Pytorch☆91Updated 2 years ago
- 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 2 years ago
- Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch☆135Updated 2 months ago
- Explorations into improving ViTArc with Slot Attention☆43Updated last year
- Attempt to make multiple residual streams from Bytedance's Hyper-Connections paper accessible to the public☆94Updated 6 months ago
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆101Updated 2 years ago
- Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)☆55Updated 9 months ago
- Griffin MQA + Hawk Linear RNN Hybrid☆89Updated last year
- ☆82Updated last year
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆133Updated last month
- Implementation of a Light Recurrent Unit in Pytorch☆49Updated last year
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 11 months ago
- Just some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new…☆125Updated last year
- [NeurIPS 2023 spotlight] Official implementation of HGRN in our NeurIPS 2023 paper - Hierarchically Gated Recurrent Neural Network for Se…☆66Updated last year
- Tiny re-implementation of MDM in style of LLaDA and nano-gpt speedrun☆56Updated 9 months ago
- ResiDual: Transformer with Dual Residual Connections, https://arxiv.org/abs/2304.14802☆96Updated 2 years ago
- Official code for the paper "Attention as a Hypernetwork"☆46Updated last year
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆103Updated last year
- Implementation of an Attention layer where each head can attend to more than just one token, using coordinate descent to pick topk☆47Updated 2 years ago
- The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch☆70Updated last month
- Implementation of a multimodal diffusion transformer in Pytorch☆107Updated last year
- A practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Pytorch☆122Updated 4 months ago