Popular GitHub Repositories for Qiskit Metal

Filament是一个实时物理渲染引擎，支持Android、iOS、Windows、Linux、macOS和WebGL2平台。

Open deep learning compiler stack for cpu, gpu and specialized accelerators

Simple, scalable AI model deployment on GPU clusters

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.

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Run AI models locally on your machine with node.js bindings for llama.cpp. Enforce a JSON schema on the model output on the generation level

A high-performance inference engine for AI models

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

Run LLaMA (and Stanford-Alpaca) inference on Apple Silicon GPUs.

Code for testing various M1 Chip benchmarks with TensorFlow.

Source code for my blog post "Getting started with TensorFlow on iOS"

Run larger LLMs with longer contexts on Apple Silicon by using differentiated precision for KV cache quantization. KVSplit enables 8-bit keys & 4-bit values, reducing memory by 59% with <1% quality loss. Includes benchmarking, visualization, and one-command setup. Optimized for M1/M2/M3 Macs with Metal support.

TensorFlow Metal Backend on Apple Silicon Experiments (just for fun)

Phi-3.5 for Mac: Locally-run Vision and Language Models for Apple Silicon

A few quick scripts focused on testing TensorFlow/PyTorch/Llama 2 on macOS.

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

Photo Assessment using Core ML and Metal.

Automatic Real Time Colorization with CNN on iOS

Sample-based Quantum Diagonalization: Classically postprocess noisy quantum samples to yield more accurate eigenvalue estimations.