how to learn PyTorch and OneFlow
☆502May 20, 2026Updated 2 months ago
Alternatives and similar repositories for how-to-learn-deep-learning-framework
Users that are interested in how-to-learn-deep-learning-framework are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- how to optimize some algorithm in cuda.☆3,146Updated this week
- compiler learning resources collect.☆2,758May 20, 2026Updated 2 months ago
- 📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉☆11,621Updated this week
- Material for gpu-mode lectures☆6,349Jun 15, 2026Updated last month
- MegCC是一个运行时超轻量，高效，移植简单的深度学习模型编译器☆483Oct 23, 2024Updated last year
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- 《Machine Learning Systems: Design and Implementation》 (V2 is launching soon）☆4,825Mar 15, 2026Updated 4 months ago
- This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several…☆1,332Jul 29, 2023Updated 2 years ago
- Hands-On Practical MLIR Tutorial☆813Oct 20, 2023Updated 2 years ago
- 📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉☆5,413Jun 23, 2026Updated last month
- 校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library st…☆3,470Jun 22, 2025Updated last year
- llm theoretical performance analysis tools and support params, flops, memory and latency analysis.☆118Jul 11, 2025Updated last year
- Yinghan's Code Sample☆365Jul 25, 2022Updated 3 years ago
- row-major matmul optimization☆743May 14, 2026Updated 2 months ago
- play gemm with tvm☆91Jul 22, 2023Updated 3 years 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.
- FlashInfer: Kernel Library for LLM Serving☆6,018Updated this week
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆4,193Updated this week
- The road to hack SysML and become an system expert☆516Sep 25, 2024Updated last year
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆82Aug 12, 2024Updated last year
- Hands-On Practical MLIR Tutorial☆59Aug 21, 2025Updated 11 months ago
- A list of awesome compiler projects and papers for tensor computation and deep learning.☆2,768Oct 19, 2024Updated last year
- Tutorials for writing high-performance GPU operators in AI frameworks.☆135Aug 12, 2023Updated 2 years ago
- A model compilation solution for various hardware☆474Aug 20, 2025Updated 11 months ago
- AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术☆17,269Sep 3, 2025Updated 10 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.
- 校招、秋招、春招、实习好项目，带你从零动手实现支持LLama2/3和Qwen2.5的大模型推理框架。☆554Oct 28, 2025Updated 8 months ago
- A fast communication-overlapping library for tensor/expert parallelism on GPUs.☆1,345Aug 28, 2025Updated 10 months ago
- BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.☆932Dec 30, 2024Updated last year
- System for AI Education Resource.☆4,318Oct 25, 2024Updated last year
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆96Jun 21, 2026Updated last month
- An MLIR-based compiler framework bridges DSLs (domain-specific languages) to DSAs (domain-specific architectures).☆743Updated this week
- flash attention tutorial written in python, triton, cuda, cutlass☆527Jan 20, 2026Updated 6 months ago
- ☆2,782Jan 16, 2024Updated 2 years ago
- depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.☆815Oct 13, 2025Updated 9 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Optimizing SGEMM kernel functions on NVIDIA GPUs to a close-to-cuBLAS performance.☆420Jan 2, 2025Updated last year
- A Easy-to-understand TensorOp Matmul Tutorial☆445Mar 5, 2026Updated 4 months ago
- optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052☆479Mar 15, 2024Updated 2 years ago
- My learning notes for ML SYS.☆6,768Updated this week
- Compare different hardware platforms via the Roofline Model for LLM inference tasks.☆123Mar 13, 2024Updated 2 years ago
- 一款简单易用和高性能的AI部署框架 | An Easy-to-Use and High-Performance AI Deployment Framework☆1,848Apr 25, 2026Updated 2 months ago
- ☆156Mar 18, 2024Updated 2 years ago