☆103Oct 12, 2026Updated 3 weeks ago
Alternatives and similar repositories for accelerated-model-architectures
Users that are interested in accelerated-model-architectures are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- LM engine is a library for pretraining/finetuning LLMs☆197Sep 25, 2026Updated last month
- Triton kernels and PyTorch ops for Block Attention Residuals (AttnRes)☆91May 29, 2026Updated 5 months ago
- Transformers components but in Triton☆34May 9, 2025Updated last year
- A lightweight CuTe-based CUDA kernel for DuoAttention, optimized for large language model inference.☆12Dec 25, 2025Updated 10 months ago
- ☆11May 21, 2026Updated 5 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- FLAT: Flash Linear Attention on TPUs☆24Oct 13, 2026Updated 3 weeks ago
- Official repository Flash Local Linear Attention☆40May 28, 2026Updated 5 months ago
- Triton kernels for dynamic causal short convolutions.☆31Jun 4, 2026Updated 4 months ago
- Accelerating MoE with IO and Tile-aware Optimizations☆787Aug 29, 2026Updated 2 months ago
- Expanding linear RNN state-transition matrix eigenvalues to include negatives improves state-tracking tasks and language modeling without…☆22Mar 15, 2025Updated last year
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆119Updated this week
- DeltaProduct is a new linear recurrent neural network architecture that uses products of generalized Householder matrices as state-transi…☆18Oct 13, 2025Updated last year
- Official repository for Parallax (Parameterized Local Linear Attention)☆71Jul 30, 2026Updated 3 months ago
- A Quirky Assortment of CuTe Kernels☆1,189Updated this week
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- TiledLower is a Dataflow Analysis and Codegen Framework written in Rust.☆13Nov 23, 2024Updated last year
- Tilus is a tile-level kernel programming language with explicit control over shared memory and registers.☆497Oct 23, 2026Updated last week
- ☆16Oct 21, 2025Updated last year
- Automatic differentiation for Triton Kernels☆29Aug 12, 2025Updated last year
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆130Jul 13, 2024Updated 2 years ago
- DeeperGEMM: crazy optimized version☆85May 5, 2025Updated last year
- An efficient implementation of the NSA (Native Sparse Attention) kernel☆135Jun 24, 2025Updated last year
- ☆92Aug 19, 2026Updated 2 months ago
- CUTLASS and CuTe Examples☆142Nov 30, 2025Updated 11 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- This repository contains companion software for the Colfax Research paper "Categorical Foundations for CuTe Layouts".☆147Aug 15, 2026Updated 2 months ago
- A collection of out-of-tree extensions for the Triton language and compiler☆45Updated this week
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆204Sep 2, 2026Updated 2 months ago
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆977Updated this week
- Code for the paper "Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns"☆19Mar 15, 2024Updated 2 years ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆375Updated this week
- CUDA kernels for linear attention variants, written in CuTe DSL and CUTLASS C++.☆561Updated this week
- ☆271Jul 11, 2024Updated 2 years ago
- ☆23May 5, 2025Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Fast low-bit matmul kernels in Triton☆491Oct 1, 2026Updated last month
- Kinetics: Rethinking Test-Time Scaling Laws☆87Jul 11, 2025Updated last year
- ☆36Jul 19, 2025Updated last year
- ☆289Jun 6, 2025Updated last year
- Toy meta-RL environments for testing algorithms implementations☆10Feb 21, 2024Updated 2 years ago
- CODA: Rewriting Transformer Blocks as GEMM-Epilogue Programs☆258Updated this week
- Github mirror of trition-lang/triton repo.☆205Updated this week