jaketae / alibi
PyTorch implementation of Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
☆28Updated 3 years ago
Alternatives and similar repositories for alibi:
Users that are interested in alibi are comparing it to the libraries listed below
- ☆29Updated 2 years ago
- Implementation of Insertion-deletion Denoising Diffusion Probabilistic Models☆30Updated 2 years ago
- An implementation of simple diffusion in PyTorch (and JAX)☆35Updated 2 years ago
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆48Updated 3 years ago
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆44Updated last year
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆57Updated last year
- My attempts at applying Soundstream design on learned tokenization of text and then applying hierarchical attention to text generation☆83Updated 4 months ago
- Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆49Updated 2 years ago
- Implementation of a Light Recurrent Unit in Pytorch☆47Updated 4 months ago
- Axial Positional Embedding for Pytorch☆73Updated last week
- Official code implementation for the work Preference Alignment with Flow Matching (NeurIPS 2024)☆41Updated 3 months ago
- Implementation of an Attention layer where each head can attend to more than just one token, using coordinate descent to pick topk☆46Updated last year
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆55Updated 9 months ago
- [NeurIPS 2022] Your Transformer May Not be as Powerful as You Expect (official implementation)☆34Updated last year
- ResiDual: Transformer with Dual Residual Connections, https://arxiv.org/abs/2304.14802☆93Updated last year
- JAX implementation ViT-VQGAN☆82Updated 2 years ago
- A dashboard for exploring timm learning rate schedulers☆19Updated 3 months ago
- Utilities for Training Very Large Models☆58Updated 5 months ago
- Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"☆36Updated last year
- Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…☆50Updated 2 years ago
- A scalable implementation of diffusion and flow-matching with XGBoost models, applied to calorimeter data.☆17Updated 4 months ago
- Experimental scripts for researching data adaptive learning rate scheduling.☆23Updated last year
- Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”☆72Updated last year
- ☆30Updated 9 months ago
- Contrastive Language-Image Pretraining☆38Updated 7 months ago
- My explorations into editing the knowledge and memories of an attention network☆34Updated 2 years ago
- Implementation of Retrieval-Augmented Denoising Diffusion Probabilistic Models in Pytorch☆64Updated 2 years ago
- Implementation of some personal helper functions for Einops, my most favorite tensor manipulation library ❤️☆53Updated 2 years ago
- Implementation of TableFormer, Robust Transformer Modeling for Table-Text Encoding, in Pytorch☆37Updated 2 years ago