Popular GitHub Repositories for Z Boson

Z-Bench 1.0 by 真格基金：一个麻瓜的大语言模型中文测试集。Z-Bench is a LLM prompt dataset for non-technical users, developed by an enthusiastic AI-focused team in Zhenfund.

HomeGenie, the programmable automation intelligence

This repository contains end-to-end sample projects designed to run with minimal effort across a variety of use cases, including data science, machine learning, deep learning, and generative AI methods. All sample projects are developed using Z by HP AI Studio with ❤️

? The Copilot that lives in your shell. Type in your thoughts, press ^Z and let the AI do it's magic ✨

This framework works as a form of user/machine calibration, with a focus on user-context and user-intent, deconstructing your ideas logically from A to B to Z.

L. Sun, G. Zhao, Y. Zheng, and Z. Wu. "Spectral–Spatial Feature Tokenization Transformer for Hyperspectral Image Classification," in IEEE TGRS, 2022.

中文预训练模型生成字向量学习，测试BERT，ELMO的中文效果

PYNQ-Torch: a framework to develop PyTorch accelerators on the PYNQ platform

Implementation of Z-BERT-A: a zero-shot pipeline for unknown intent detection.

A toy code generator (i.e. "program synthesis") using the Z3 solver

A to Z of ML

Face classifier for "Momoiro Clozer Z" member using Tensorflow/Keras

TensorFlow implementation of Z. Hu et al. "Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction", WSDM 2018

This repository contains end-to-end sample projects designed to run with minimal effort across a variety of use cases, including data science, machine learning, deep learning, and generative AI methods. All sample projects are developed using Z by HP AI Studio with ❤️

An application designed to help couples manage their relationship by providing tools for communication, task management, and shared calendars

[ICLR 2024] Jaiswal, A., Gan, Z., Du, X., Zhang, B., Wang, Z., & Yang, Y. Compressing llms: The truth is rarely pure and never simple.

A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. and Silver, D., 2020. Discovering reinforcement learning algorithms. Advances in Neural Information Processing Systems, 33.

[NAACL 2024] Z-GMOT: Zero-shot Generic Multiple Object Tracking

Microsoft buduje i tworzy Polsk? Dolin? Cyfrow?. W ramach tej inicjatywy podj?li?my si? wyzwania zbudowania chmurowych kompetencji w?ród 150tys osób w Polsce. Jednym z elementów tej inicjatywy jest dedykowany kurs na studiach inzynierskich i magisterskich na Politechnice Warszawskiej po?wi?cony chmurze obliczeniowej oraz sztucznej inteligencji.