A CUDA kernel for NHWC GroupNorm for PyTorch
☆23Nov 15, 2024Updated last year
Alternatives and similar repositories for channels-last-groupnorm
Users that are interested in channels-last-groupnorm are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- (WIP) Parallel inference for black-forest-labs' FLUX model.☆19Nov 18, 2024Updated last year
- trt-hackathon-2022 三等奖方案☆10Mar 6, 2023Updated 3 years ago
- ☆26Aug 15, 2023Updated 2 years ago
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆96Feb 20, 2026Updated 3 months ago
- 🎉My Collections of CUDA Kernels~☆11Jun 25, 2024Updated 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.
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆156May 10, 2025Updated last year
- ☆20Sep 28, 2024Updated last year
- 天池 NVIDIA TensorRT Hackathon 2023 —— 生成式AI模型优化赛 初赛第三名方案☆50Aug 16, 2023Updated 2 years ago
- [WIP] Better (FP8) attention for Hopper☆34Feb 24, 2025Updated last year
- SGLang Kernel Wheel Index☆23Updated this week
- Quantized Attention on GPU☆44Nov 22, 2024Updated last year
- Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.☆74Sep 8, 2024Updated last year
- Everything is gonna be OK🎈☆19May 15, 2025Updated last year
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆81Aug 12, 2024Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- 搜藏的希望的代码片段☆13Jun 6, 2023Updated 3 years ago
- ☆32Jul 2, 2025Updated 11 months ago
- ☆52May 19, 2025Updated last year
- ☆90Jun 30, 2023Updated 2 years ago
- Skills for writing tilelang and debugging with CUDA toolkits.☆126May 20, 2026Updated 3 weeks ago
- 莫烦强化学习教程的PyTorch实现☆10Nov 23, 2024Updated last year
- ☆14Nov 3, 2025Updated 7 months ago
- Open deep learning compiler stack for cpu, gpu and specialized accelerators☆19Jun 5, 2026Updated last week
- GEMM and Winograd based convolutions using CUTLASS☆28Jul 15, 2020Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Parsers for CUDA binary files☆25Dec 29, 2023Updated 2 years ago
- 本仓库在OpenVINO推理框架下部署Nanodet检测算法,并重写预处理和后处理部分,具有超高性能!让你在Intel CPU平台上的检测速度起飞! 并基于NNCF和PPQ工具将模型量化(PTQ)至int8精度,推理速度更快!☆16Jun 14, 2023Updated 3 years ago
- ☆19Aug 23, 2022Updated 3 years ago
- FlexAttention w/ FlashAttention3 Support☆27Oct 5, 2024Updated last year
- Source codes for reproducing the results presented in "A Systematic Deep Learning Model Selection for P300-Based Brain-Computer Interface…☆13Jun 5, 2025Updated last year
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆45Feb 27, 2025Updated last year
- PyTorch bindings for CUTLASS grouped GEMM.☆153May 29, 2025Updated last year
- Cute layout visualization☆40Jan 18, 2026Updated 5 months ago
- Step by step implementation of a fast softmax kernel in CUDA☆68Jan 6, 2025Updated last year
- 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.
- [HPCA 2026] A GPU-optimized system for efficient long-context LLMs decoding with low-bit KV cache.☆94May 14, 2026Updated last month
- Standalone Flash Attention v2 kernel without libtorch dependency☆113Sep 10, 2024Updated last year
- CUTLASS and CuTe Examples☆136Nov 30, 2025Updated 6 months ago
- ☆192Jan 14, 2025Updated last year
- Implement FlashAttention v2 with minimal code to learn.☆16Jun 12, 2024Updated 2 years ago
- Compare different hardware platforms via the Roofline Model for LLM inference tasks.☆122Mar 13, 2024Updated 2 years ago
- ☆25Oct 10, 2022Updated 3 years ago