fishmingyu / GeoTLinks
GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU
☆24Updated 9 months ago
Alternatives and similar repositories for GeoT
Users that are interested in GeoT are comparing it to the libraries listed below
Sorting:
- EquiTriton is a project that seeks to implement high-performance kernels for commonly used building blocks in equivariant neural networks…☆66Updated 3 weeks ago
- ☆21Updated 10 months ago
- Automatic differentiation for Triton Kernels☆29Updated 4 months ago
- Memory Optimizations for Deep Learning (ICML 2023)☆114Updated last year
- extensible collectives library in triton☆91Updated 9 months ago
- Experimental GPU language with meta-programming☆24Updated last year
- Experiment of using Tangent to autodiff triton☆81Updated last year
- Parallel framework for training and fine-tuning deep neural networks☆69Updated 2 months ago
- TORCH_LOGS parser for PT2☆70Updated last week
- Personal solutions to the Triton Puzzles☆20Updated last year
- Write a fast kernel and run it on Discord. See how you compare against the best!☆66Updated 3 weeks ago
- ☆39Updated 3 weeks ago
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆162Updated 2 weeks ago
- ☆83Updated 2 years ago
- Triton-based Symmetric Memory operators and examples☆72Updated 2 months ago
- A FlashAttention implementation for JAX with support for efficient document mask computation and context parallelism.☆155Updated 2 months ago
- Fast and memory-efficient exact attention☆74Updated 10 months ago
- PyTorch centric eager mode debugger☆48Updated last year
- ☆115Updated last year
- The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.☆90Updated 5 months ago
- TorchFix - a linter for PyTorch-using code with autofix support☆152Updated 4 months ago
- A bunch of kernels that might make stuff slower 😉☆73Updated this week
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆706Updated this week
- WholeGraph - large scale Graph Neural Networks☆106Updated last year
- ☆64Updated this week
- Collection of kernels written in Triton language☆174Updated 9 months ago
- FlashRNN - Fast RNN Kernels with I/O Awareness☆174Updated 2 months ago
- Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.☆46Updated last year
- Torch Distributed Experimental☆117Updated last year
- TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels☆182Updated this week