microsoft / OliveLinks
Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.
☆2,133Updated this week
Alternatives and similar repositories for Olive
Users that are interested in Olive are comparing it to the libraries listed below
Sorting:
- Generative AI extensions for onnxruntime☆850Updated this week
- SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX R…☆2,508Updated this week
- 🤗 Optimum Intel: Accelerate inference with Intel optimization tools☆499Updated this week
- onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime☆413Updated last week
- A Python package for extending the official PyTorch that can easily obtain performance on Intel platform☆1,973Updated this week
- ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.☆400Updated this week
- 🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization…☆3,110Updated last week
- ONNXMLTools enables conversion of models to ONNX☆1,114Updated 4 months ago
- Examples for using ONNX Runtime for model training.☆350Updated 11 months ago
- ⚠️DirectML is in maintenance mode ⚠️ DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. Direct…☆2,519Updated 3 weeks ago
- Examples for using ONNX Runtime for machine learning inferencing.☆1,504Updated last week
- ONNX Optimizer☆761Updated last week
- PyTorch native quantization and sparsity for training and inference☆2,392Updated last week
- ⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Pl…☆2,166Updated last year
- A unified library of state-of-the-art model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. …☆1,431Updated last week
- PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT☆2,869Updated last week
- A pytorch quantization backend for optimum☆991Updated last month
- High-efficiency floating-point neural network inference operators for mobile, server, and Web☆2,122Updated this week
- PyTriton is a Flask/FastAPI-like interface that simplifies Triton's deployment in Python environments.☆823Updated 2 months ago
- On-device AI across mobile, embedded and edge for PyTorch☆3,292Updated this week
- Simple, safe way to store and distribute tensors☆3,470Updated 2 weeks ago
- AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (N…☆4,682Updated 3 weeks ago
- Common utilities for ONNX converters☆282Updated last month
- Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX☆2,478Updated last month
- Run Generative AI models with simple C++/Python API and using OpenVINO Runtime☆349Updated this week
- ☆1,026Updated last year
- Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackab…☆1,584Updated last year
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,063Updated 3 months ago
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Bla…☆2,763Updated last week
- The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.)…☆804Updated 2 weeks ago