meachine-learning
There are 35 repositories under meachine-learning topic.
NoOneUST/IS-MVSNet
[ECCV 2022] IS-MVSNet: Importance-sampling-based MVSNet
PKU-YuanGroup/TaxDiff
The official code for "TaxDiff: Taxonomic-Guided Diffusion Model for Protein Sequence Generation"
aileowang/Kaggle
Competition Review
MatoYing/TextMining
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。
mesh-pch/DBSCAN
Density Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms in C++
secretflow/trustedflow
A privacy-preserving computing system based on TEE.
sebkim/lda2vec-pytorch
lda2vec pytorch implementation
DengBoCong/Competition
Solutions for NLP-related competition
BusamSumanjali/URL-Based-Phishing-Detection-using-machine-Learning
Phishers Develop the websites similar to those real websites. So, this project comes to know whether the URL is phishing or not.
Belhoussine/Moodzik
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.
marmurar/jano
A time slicer for training and testing temporally correlated Machine Learning models.
DengBoCong/anomaly-detection
Anomaly detection algorithm related papers, competition schemes, codes, etc
Manish9097/HealthCare-Diabetics
HeaithCare Diabetics Machine Learning model Deployment by using Flask app.
shanggangli/LangChain_ChatGLM_6B
LangChain+ChatGLM_6B
Thangam-11/Final-Project
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.
Thangam-11/Rental-Property-price-
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.
Yuan-ManX/ai-voice-agents
AI Voice Agents: Exploring the Next Generation of Human-Machine Interaction! 🎙️🤖🎧
Abhiram-23/instagram_filter
this can be done by open-cv
AbhishekTungala/ML-Loan-Approval-Prediction
ML Loan Approvel Prediction using Python
Green-16/Lihang
learning notes of the book Statistical learning methods, 统计学习方法[李航] [笔记, 代码, notebook, lihang]
LugokuEvil/dwmatix
Projekt transformacja, czyli Matrix - poznaj reguły gry
mrezasaeidi/IranITJobs2021
A dataset containing 1300 Iranian IT job advertisements in English from August 2019 to January 2021 and collected by using a new crowdsourcing-based dataset gathering process.
prisid/MALWARE-DETECTION-PROJECT
Malware detection project by Machine Learning Algorithms. Top class BE second year project of EnTC students . It detects and tells the accuracy through Machine Learning Algorithms.
ssw03270/ML-assignment
기계학습 대체과제 c++로 제출하기 프로젝트. 학점은 보장 못함;;
Thangam-11/copper-model-project
The "Industrial Copper Modeling" project is designed to enhance your proficiency in data analysis and machine learning, focusing on the challenges posed by complex sales and pricing data in the copper industry. This hands-on project employs advanced machine learning techniques to provide solutions, offering regression models for precise pricing pre
Thangam-11/Loan_risk_deduction
Contributed to the improvement of risk management practices in the lending industry. Led to more responsible lending practices and reduced financial risks
Amine-RT/ML_learning
Learning repository for ML
MaklonFR/ImageClassification_in_TensorFlow
Image Classification in TensorFlow (Submission Dicoding Indonesia) - Kelas Belajar Machine Learning untuk Pemula
Neyung/ML
Classification Using Frequent Patterns - UEH
Thangam-11/Used-car-price-prediction
The Used Car Price Prediction project aims to develop a robust data science solution for accurately predicting used car prices. Leveraging a diverse dataset encompassing essential features like car model, number of owners, age, mileage, fuel type, kilometers driven, additional features, and location, this project aspires to build a powerful machine
zhangjic18/lhy_ml_homework
李宏毅机器学习课程作业—2021