Zajac Mo
ZajacMo
I am highly interested in research related to inference and memory of LLMs at edge devices and embodied scenarios.
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Taxi-Trajectory-Analysis is a comprehensive web application for analyzing and visualizing taxi GPS trajectory data in Beijing. The project processes and analyzes approximately 15 million trajectory points from 10,357 taxis over a one-week period in February 2008.
A full-stack paper submission and management system consisting of a React frontend and a Node.js/Express backend.
A comprehensive Python library for unified text dataset management and processing especially for **large language models**. Load text from JSON/JSONL files or directories, apply filtering and sampling, iterate sequentially or randomly, and batch output with ease.
Hi! Zajac here!
Repositories
27No description provided.
Hi! Zajac here!
Voyager, but with Google Gemini 3 pro preview instead of OpenAi models
本项目针对共享单车运营中的供需失衡、停车混乱等问题,建立了数据清洗、需求预测、调度优化和电子围栏布局的一整套数学模型解决方案。
[ICLR 2025] Mixture Compressor for Mixture-of-Experts LLMs Gains More
A full-stack paper submission and management system consisting of a React frontend and a Node.js/Express backend.
No description provided.
Taxi-Trajectory-Analysis is a comprehensive web application for analyzing and visualizing taxi GPS trajectory data in Beijing. The project processes and analyzes approximately 15 million trajectory points from 10,357 taxis over a one-week period in February 2008.
A comprehensive Python library for unified text dataset management and processing especially for **large language models**. Load text from JSON/JSONL files or directories, apply filtering and sampling, iterate sequentially or randomly, and batch output with ease.
[ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting
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Assignment Collection System is a comprehensive web application designed to streamline the process of assignment management for educators.
[DAC'25] Official implement of "HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference"
This project is a web crawler designed to collect license information from the National Financial Regulatory Administration (NFRA) website. It provides a systematic way to fetch, process, and store license data efficiently. This project is intended for educational purposes only, and any use for commercial purposes is strictly prohibited.
The code for paper "FloE: On-the-Fly MoE Inference on Memory-constrained GPU“.
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Fast Multimodal LLM on Mobile Devices
This project implements a face recognition system based on Backpropagation (BP) Neural Network and Support Vector Machine (SVM), using the CASIA-FaceV5 dataset for training and testing.
This project combines the Qt framework and OpenCV library to implement efficient image processing and compression algorithms. Through a user-friendly interface, users can easily perform operations such as image compression, decompression, and image quality evaluation.
This is a high-precision calculator application developed based on the Qt framework, supporting basic arithmetic operations (addition, subtraction, multiplication, division), and providing configurable decimal places settings.
This project aims to build a comprehensive systemic financial risk monitoring framework to analyze the risk status of China's financial market through multiple dimensions.
This is an Iris flower classification project based on the Decision Tree algorithm. The goal is to classify Iris flower data using machine learning techniques and compare the performance differences between a basic Decision Tree model and an optimized Decision Tree model.
This is a front-end system for systematic financial risk data visualization. It provides comprehensive monitoring and analysis of financial market pressure indicators across multiple dimensions including bond market, foreign exchange market, stock market, derivatives market, and money market.
📆 timetables.js plugin, timetable schedule school-timetable 课程表 大学课表 日程表 插件
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