state-spaces / s4
Structured state space sequence models
โ2,575Updated 7 months ago
Alternatives and similar repositories for s4:
Users that are interested in s4 are comparing it to the libraries listed below
- Pytorch library for fast transformer implementationsโ1,684Updated last year
- ๐ฆ Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorchโ2,101Updated 3 months ago
- Implementation of https://srush.github.io/annotated-s4โ485Updated 2 years ago
- Vector (and Scalar) Quantization, in Pytorchโ3,012Updated this week
- Simple, minimal implementation of the Mamba SSM in one file of PyTorch.โ2,740Updated last year
- maximal update parametrization (ยตP)โ1,475Updated 7 months ago
- Long Range Arena for Benchmarking Efficient Transformersโ747Updated last year
- A simple and efficient Mamba implementation in pure PyTorch and MLX.โ1,154Updated 3 months ago
- Implementation of Rotary Embeddings, from the Roformer paper, in Pytorchโ650Updated 3 months ago
- Foundation Architecture for (M)LLMsโ3,059Updated 11 months ago
- Collection of papers on state-space modelsโ584Updated 2 weeks ago
- Transformer based on a variant of attention that is linear complexity in respect to sequence lengthโ748Updated 10 months ago
- A concise but complete full-attention transformer with a set of promising experimental features from various papersโ5,142Updated this week
- Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)โ1,884Updated 7 months ago
- โ770Updated last month
- Implementation of Perceiver, General Perception with Iterative Attention, in Pytorchโ1,131Updated last year
- Awesome Papers related to Mamba.โ1,326Updated 4 months ago
- PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)โ1,852Updated 8 months ago
- An implementation of "Retentive Network: A Successor to Transformer for Large Language Models"โ1,177Updated last year
- Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)โ1,591Updated 2 years ago
- An implementation of Performer, a linear attention-based transformer, in Pytorchโ1,115Updated 3 years ago
- Schedule-Free Optimization in PyTorchโ2,111Updated 2 weeks ago
- Reformer, the efficient Transformer, in Pytorchโ2,151Updated last year
- Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.โ2,713Updated last week
- ๐ Efficient implementations of state-of-the-art linear attention models in Torch and Tritonโ2,088Updated this week
- PyTorch extensions for high performance and large scale training.โ3,272Updated 2 months ago
- SAM: Sharpness-Aware Minimization (PyTorch)โ1,843Updated last year
- TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.โ1,552Updated this week
- PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538โ1,068Updated 10 months ago
- A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language modelsโ705Updated last year