quic / ai-hub-modelsLinks
The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
☆766Updated this week
Alternatives and similar repositories for ai-hub-models
Users that are interested in ai-hub-models are comparing it to the libraries listed below
Sorting:
- The Qualcomm® AI Hub apps are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) a…☆254Updated 2 weeks ago
- Supporting PyTorch models with the Google AI Edge TFLite runtime.☆735Updated last week
- LiteRT continues the legacy of TensorFlow Lite as the trusted, high-performance runtime for on-device AI. Now with LiteRT Next, we're exp…☆714Updated this week
- ☆152Updated last month
- Generative AI extensions for onnxruntime☆788Updated this week
- Examples for using ONNX Runtime for machine learning inferencing.☆1,448Updated this week
- ☆333Updated last year
- On-device AI across mobile, embedded and edge for PyTorch☆3,133Updated this week
- Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massiv…☆838Updated 3 weeks ago
- Demonstration of running a native LLM on Android device.☆166Updated this week
- Fast Multimodal LLM on Mobile Devices☆989Updated this week
- Run Generative AI models with simple C++/Python API and using OpenVINO Runtime☆319Updated this week
- A unified library of state-of-the-art model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. …☆1,103Updated this week
- Qualcomm Cloud AI SDK (Platform and Apps) enable high performance deep learning inference on Qualcomm Cloud AI platforms delivering high …☆64Updated last week
- Low-bit LLM inference on CPU/NPU with lookup table☆838Updated 2 months ago
- TinyChatEngine: On-Device LLM Inference Library☆884Updated last year
- Conversion of PyTorch Models into TFLite☆389Updated 2 years ago
- SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX R…☆2,472Updated this week
- onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime☆406Updated last week
- PyTorch Neural Network eXchange☆608Updated last week
- TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.☆842Updated 2 months ago
- 🤗 Optimum Intel: Accelerate inference with Intel optimization tools☆482Updated this week
- A Toolkit to Help Optimize Onnx Model☆189Updated this week
- llm-export can export llm model to onnx.☆303Updated 6 months ago
- This repository contains tutorials and examples for Triton Inference Server☆755Updated last week
- LLaMa/RWKV onnx models, quantization and testcase☆363Updated 2 years ago
- QAI AppBuilder is designed to help developers easily execute models on WoS and Linux platforms. It encapsulates the Qualcomm® AI Runtime …☆60Updated this week
- Neural Network Compression Framework for enhanced OpenVINO™ inference☆1,071Updated this week
- A parser, editor and profiler tool for ONNX models.☆450Updated 2 weeks ago
- ONNX Optimizer☆738Updated 2 weeks ago