Neo Zhang Jianyu

@NeoZhangJianyu · User

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@intelShanghai33 followers33 repositories

Repositories

NeoZhangJianyu/ollama

Get up and running with Llama 3.3, Phi 4, Gemma 2, and other large language models.

★ 5GoForks 2

NeoZhangJianyu/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

★ 0PythonForks 0

NeoZhangJianyu/ai-containers

This repository contains Dockerfiles, scripts, yaml files, Helm charts, etc. used to scale out AI containers with versions of TensorFlow and PyTorch that have been optimized for Intel platforms. Scaling is done with python, Docker, kubernetes, kubeflow, cnvrg.io, Helm, and other container orchestration frameworks for use in the cloud and on-premise

★ 0Forks 0

NeoZhangJianyu/GenAIEval

Evaluation, benchmark, and scorecard, targeting for performance on throughput and latency, accuracy on popular evaluation harness, safety, and hallucination

★ 0Jupyter NotebookForks 0

NeoZhangJianyu/GenAIStudio

GenAI Studio is a low code platform to enable users to construct, evaluate, and benchmark GenAI applications. The platform also provide capability to export developed application as a ready-to-deploy package for immediate enterprise integration.

★ 0JavaScriptForks 0

NeoZhangJianyu/GenAIComps

GenAI components at micro-service level; GenAI service composer to create mega-service

★ 0PythonForks 0

NeoZhangJianyu/GenAIExamples

Generative AI Examples is a collection of GenAI examples such as ChatQnA, Copilot, which illustrate the pipeline capabilities of the Open Platform for Enterprise AI (OPEA) project.

★ 0ShellForks 0

NeoZhangJianyu/neural-compressor

Intel® Neural Compressor (formerly known as Intel® Low Precision Optimization Tool), targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep learning frameworks to pursue optimal inference performance.

★ 0PythonForks 0