lucidrains / GAF-microbatch-pytorchLinks
Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch
☆25Updated 6 months ago
Alternatives and similar repositories for GAF-microbatch-pytorch
Users that are interested in GAF-microbatch-pytorch are comparing it to the libraries listed below
Sorting:
- Implementation of GateLoop Transformer in Pytorch and Jax☆89Updated last year
- Explorations into the recently proposed Taylor Series Linear Attention☆100Updated 11 months ago
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆56Updated last year
- Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)☆52Updated 4 months ago
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆101Updated 7 months ago
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆44Updated 2 years ago
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆50Updated last year
- Explorations into adversarial losses on top of autoregressive loss for language modeling☆37Updated 5 months ago
- Implementation of a holodeck, written in Pytorch☆18Updated last year
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆85Updated last year
- ☆53Updated 10 months ago
- Exploration into the Scaling Value Iteration Networks paper, from Schmidhuber's group☆36Updated 10 months ago
- Latent Diffusion Language Models☆68Updated last year
- Implementation of 🌻 Mirasol, SOTA Multimodal Autoregressive model out of Google Deepmind, in Pytorch☆89Updated last year
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆58Updated last year
- The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch☆65Updated 2 months ago
- Explorations into whether a transformer with RL can direct a genetic algorithm to converge faster☆70Updated 2 months ago
- ☆34Updated 10 months 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…☆54Updated last year
- ☆81Updated last year
- Triton Implementation of HyperAttention Algorithm☆48Updated last year
- Implementation of Infini-Transformer in Pytorch☆111Updated 7 months ago
- Implementation of the proposed Spline-Based Transformer from Disney Research☆102Updated 8 months ago
- Utilities for PyTorch distributed☆24Updated 5 months ago
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆120Updated 9 months ago
- Attempt to make multiple residual streams from Bytedance's Hyper-Connections paper accessible to the public☆88Updated last month
- Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch☆112Updated 8 months ago
- Code for the paper "Function-Space Learning Rates"☆23Updated 2 months ago
- σ-GPT: A New Approach to Autoregressive Models☆67Updated 11 months ago
- Implementation of Mind Evolution, Evolving Deeper LLM Thinking, from Deepmind☆56Updated 2 months ago