Applied AI experiments and examples for PyTorch
☆322Aug 22, 2025Updated 9 months ago
Alternatives and similar repositories for applied-ai
Users that are interested in applied-ai are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Cataloging released Triton kernels.☆303Sep 9, 2025Updated 8 months ago
- Fast low-bit matmul kernels in Triton☆458May 15, 2026Updated last week
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆355Updated this week
- ☆113Mar 12, 2026Updated 2 months ago
- Tile primitives for speedy kernels☆3,377Updated this week
- 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.
- ☆267Jul 11, 2024Updated last year
- A fast communication-overlapping library for tensor/expert parallelism on GPUs.☆1,309Aug 28, 2025Updated 8 months ago
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆222May 15, 2026Updated last week
- Distributed Compiler based on Triton for Parallel Systems☆1,440Apr 22, 2026Updated last month
- Triton-based implementation of Sparse Mixture of Experts.☆274Oct 3, 2025Updated 7 months ago
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆599May 13, 2026Updated last week
- extensible collectives library in triton☆98Mar 31, 2025Updated last year
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆286Nov 24, 2025Updated 6 months ago
- FlexAttention w/ FlashAttention3 Support☆27Oct 5, 2024Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- PyTorch native quantization and sparsity for training and inference☆2,834Updated this week
- A Easy-to-understand TensorOp Matmul Tutorial☆434Mar 5, 2026Updated 2 months ago
- Fastest kernels written from scratch☆578Sep 18, 2025Updated 8 months ago
- Transformers components but in Triton☆34May 9, 2025Updated last year
- Ring attention implementation with flash attention☆1,020Sep 10, 2025Updated 8 months ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆1,078Sep 4, 2024Updated last year
- Puzzles for learning Triton☆2,444Apr 1, 2026Updated last month
- Github mirror of trition-lang/triton repo.☆168Updated this week
- ☆121May 16, 2025Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- FlashInfer: Kernel Library for LLM Serving☆5,666Updated this week
- ☆329Updated this week
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆764Aug 6, 2025Updated 9 months ago
- Quantized Attention on GPU☆44Nov 22, 2024Updated last year
- This repository contains the experimental PyTorch native float8 training UX☆226Aug 1, 2024Updated last year
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆81Aug 12, 2024Updated last year
- depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.☆806Oct 13, 2025Updated 7 months ago
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆109Jun 28, 2025Updated 10 months ago
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆129Jul 13, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Helpful tools and examples for working with flex-attention☆1,190Apr 13, 2026Updated last month
- Perplexity GPU Kernels☆576Nov 7, 2025Updated 6 months ago
- ☆106Sep 9, 2024Updated last year
- A lightweight design for computation-communication overlap.☆234Jan 20, 2026Updated 4 months ago
- A collection of memory efficient attention operators implemented in the Triton language.☆291Jun 5, 2024Updated last year
- FlagGems is an operator library for large language models implemented in the Triton Language.☆1,001Updated this week
- MSCCL++: A GPU-driven communication stack for scalable AI applications☆520Updated this week