[ECCV 2022] IS-MVSNet: Importance-sampling-based MVSNet
The official code for "TaxDiff: Taxonomic-Guided Diffusion Model for Protein Sequence Generation"
一个比较基础、全面的文本挖掘过程。包含了利用机器学习和文本挖掘技术完成情感分析模型搭建；利用情感极性判断与程度计算来判断情感倾向；利用词频和TF-IDF挖掘出正负文本中的关键点情况；利用文本挖掘相关算法找到平台中用户讨论的集中点。
A privacy-preserving computing system based on TEE.
Density Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms in C++
lda2vec pytorch implementation
Phishers Develop the websites similar to those real websites. So, this project comes to know whether the URL is phishing or not.
Solutions for NLP-related competition
AI Voice Agents: Exploring the Next Generation of Human-Machine Interaction! 🎙️🤖🎧
MoodZik is a web app that utilizes Machine Learning to analyze its user's face through their webcam, identify their current emotions, and compose music based on how they are feeling.
A time slicer for training and testing temporally correlated Machine Learning models.
In the real estate industry, the determination of rental prices plays a critical role in shaping the interactions between property owners, tenants, and property management companies. The ever-changing nature of the real estate market necessitates a dynamic and data-driven approach to set competitive and fair rental prices.
Anomaly detection algorithm related papers, competition schemes, codes, etc
LangChain+ChatGLM_6B
ML Loan Approvel Prediction using Python
HeaithCare Diabetics Machine Learning model Deployment by using Flask app.
This repository contains a comprehensive toolkit for sentiment analysis of mental health-related statements using Natural Language Processing (NLP) and deep learning techniques. The project includes data preprocessing, text augmentation, and the development of a Convolutional Neural Network (CNN) model for classification.
The Food Price Estimation project focuses on providing estimates of food prices to capture local price fluctuations in regions where people are vulnerable to localized price surges. The project utilizes a machine-learning algorithm designed to predict ongoing subnational price surveys, demonstrating accuracy comparable to direct price measurements.
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