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Alexander Kozlov's Projects

autogptq icon autogptq

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

caffe icon caffe

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel® Xeon Phi processors

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gsoc2022-openvino icon gsoc2022-openvino

Development of a DL model for synthetic data generation for model optimization using OpenVINO's Post-training Optimization Toolkit.

h2o icon h2o

[NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.

langchain icon langchain

🦜🔗 Build context-aware reasoning applications

lpot icon lpot

Intel® Low Precision Optimization Tool, targeting to provide a unified low precision inference interface cross different deep learning frameworks, and support auto-tune with specified accuracy criterion to find out best quantized model.

nncf_tensorrt icon nncf_tensorrt

Experiments for NNCF quantization and inference with TensorRT

nncf_timm icon nncf_timm

NNCF scaling proposal based on the PyTorch Timm project

onnx icon onnx

Open standard for machine learning interoperability

onnxruntime icon onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

open_model_zoo icon open_model_zoo

Pre-trained Deep Learning models and samples (high quality and extremely fast)

openvino icon openvino

OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository

openvino_notebooks icon openvino_notebooks

📚 A collection of Jupyter notebooks for learning and experimenting with OpenVINO 👓

optimum icon optimum

🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools

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