Popular GitHub Repositories for Quantum Kernel

10 Lessons to Get Started Building AI Agents

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

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

FlashInfer: Kernel Library for LLM Serving

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

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

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

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

Fast and Easy Infinite Neural Networks in Python

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.

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

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

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

High-fidelity performance metrics for generative models in PyTorch

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

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

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

SchNetPack - Deep Neural Networks for Atomistic Systems

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