Popular GitHub Repositories for Kernel Exploitation

10 Lessons to Get Started Building AI Agents

A collection of important graph embedding, classification and representation learning papers with implementations.

FlashInfer: Kernel Library for LLM Serving

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

A C#/.NET library to run LLM (?LLaMA/LLaVA) on your local device efficiently.

It is open source ebook about TensorFlow kernel and implementation mechanism.

Fast and Easy Infinite Neural Networks in Python

Five lessons, learn how to really apply AI to your .NET Applications

Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.

For deep RL and the future of AI.

High-fidelity performance metrics for generative models in PyTorch

:metal: TT-NN operator library, and TT-Metalium low level kernel programming model.

[CVPR'24] UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.

[CVPR 2023 Highlight] Neural Kernel Surface Reconstruction

Python implementations of contextual bandits algorithms

Sample to envision intelligent apps with Microsoft's Copilot stack for AI-infused product experiences.

Code for our CVPR 2019 paper: Selective Kernel Networks; See zhihu：https://zhuanlan.zhihu.com/p/59690223

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