facebookresearch / LAWTLinks
Code for papers Linear Algebra with Transformers (TMLR) and What is my Math Transformer Doing? (AI for Maths Workshop, Neurips 2022)
☆76Updated last year
Alternatives and similar repositories for LAWT
Users that are interested in LAWT are comparing it to the libraries listed below
Sorting:
- An annotated implementation of the Hyena Hierarchy paper☆34Updated 2 years ago
- Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural netwo…☆74Updated 4 months ago
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆51Updated last year
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆59Updated 2 years ago
- ☆61Updated last year
- Implementation of the Triangle Multiplicative module, used in Alphafold2 as an efficient way to mix rows or columns of a 2d feature map, …☆39Updated 4 years ago
- My own attempt at a long context genomics model, leveraging recent advances in long context attention modeling (Flash Attention + other h…☆54Updated 2 years ago
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆45Updated 2 years ago
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆89Updated last year
- Implementation of Infini-Transformer in Pytorch☆113Updated 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…☆52Updated 2 years ago
- ☆166Updated 2 years ago
- Explorations into the recently proposed Taylor Series Linear Attention☆99Updated last year
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆127Updated 2 years ago
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆119Updated last year
- Implementation of GateLoop Transformer in Pytorch and Jax☆90Updated last year
- ☆52Updated last year
- Implementation of Tranception, an attention network, paired with retrieval, that is SOTA for protein fitness prediction☆32Updated 3 years ago
- JAX/Flax implementation of the Hyena Hierarchy☆34Updated 2 years ago
- 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
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆85Updated last year
- Triton Implementation of HyperAttention Algorithm☆48Updated last year
- Differentiable Algorithms and Algorithmic Supervision.☆116Updated 2 years ago
- PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023☆20Updated 2 years ago
- ☆75Updated 3 years ago
- ResiDual: Transformer with Dual Residual Connections, https://arxiv.org/abs/2304.14802☆96Updated 2 years ago
- Explorations into whether a transformer with RL can direct a genetic algorithm to converge faster☆71Updated 6 months ago
- Simple illustrative examples for energy-based models in PyTorch☆67Updated 5 years ago
- A MAD laboratory to improve AI architecture designs 🧪☆133Updated 11 months ago
- Implementation of Discrete Key / Value Bottleneck, in Pytorch☆88Updated 2 years ago