A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
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Updated
Jul 9, 2024 - Python
A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
Automatic ROPChain Generation
SymGDB - symbolic execution plugin for gdb
A performance library for machine learning applications.
(WIP)The deployment framework aims to provide a simple, lightweight, fast integrated, pipelined deployment framework for algorithm service that ensures reliability, high concurrency and scalability of services.
ClearML - Model-Serving Orchestration and Repository Solution
Deploy DL/ ML inference pipelines with minimal extra code.
⚡ Blazing fast audio augmentation in Python, powered by GPU for high-efficiency processing in machine learning and audio analysis tasks.
Symbolic debugging tool using JonathanSalwan/Triton
Increase the inference speed of the model
삼각형의 실전! Triton
Training-free Post-training Efficient Sub-quadratic Complexity Attention. Implemented with OpenAI Triton.
Optimize, convert and deploy machine learning models as fast inference API using Triton and ORT. Currently support Hugging Face transformers, PyToch, Tensorflow, SKLearn and XGBoost models.
Triton reimplementation of the Smooth ReLU activation function proposed in the paper "Real World Large Scale Recommendation Systems Reproducibility and Smooth Activations" [arXiv 2022].
Efficient kernel for RMS normalization with fused operations, includes both forward and backward passes, compatibility with PyTorch.
Package for running Nvidia Triton within python test with features like Dockerfile DSL and building images on fly.
The benchmark for OpenAI Triton.
Demonstrate some functionalities of Morion by generating an exploit for CVE-2022-27646 (stack buffer overflow on Netgear R6700v3 routers).
Add a description, image, and links to the triton topic page so that developers can more easily learn about it.
To associate your repository with the triton topic, visit your repo's landing page and select "manage topics."