Highlights
Lists (7)
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Cross The GreatWall!
Some projects that help me to cross the GreatWall.Deep Learing Projects
Some deep learning projects.LLM
Research Kits
Some interesting kits help me research more efficiently.Tools
Some creative tools.Uncertainy
Website Templates
Some great website templates.Stars
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
Auto_Jobs_Applier_AI_Agent aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in an tailored way.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
qiin2333 / moonlight-qt
Forked from moonlight-stream/moonlight-qtGameStream client for PCs (Windows, Mac, Linux, and Steam Link)
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
Genshin Impact & HKSR Fps Unlock 原神崩铁帧率解锁
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
This is improved on mathematica keygen(this code can also use on system modeler).It has full tutorials and you can input your own actkey.
研究生数学建模,本科生数学建模、数学建模竞赛优秀论文,数学建模算法,LaTeX论文模板,算法思维导图,参考书籍,Matlab软件教程,PPT
Self-hosted game stream host for Moonlight.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…
Federated Learning under Distributed Concept Drift (FedDrift)
Python inventory optimization and simulation tools.
One-week side project to play around stochastic optimization (how to take *good* decisions under uncertainty)
Human in the Loop Conformal Prediction
Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization
Extending Conformal Prediction to LLMs
Conformal Prediction + Federated Learning
Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis(AAAI-2023)
MPP approach helps to predict risks and make decisions
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
Scheduling infrastructure for absolutely everyone.
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
Lightweight, useful implementation of conformal prediction on real data.
Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
Examples of how to create colorful, annotated equations in Latex using Tikz.