statistical-machine-learning
There are 36 repositories under statistical-machine-learning topic.
Wang-ML-Lab/GRDA
[ICLR 2022] Graph-Relational Domain Adaptation
paidamoyo/adversarial_time_to_event
ICML 2018: "Adversarial Time-to-Event Modeling"
danielkelshaw/ConcreteDropout
PyTorch implementation of 'Concrete Dropout'
statwangz/MATH-4432-Statistical-Machine-Learning
Tutorials for MATH 4432 Statistical Machine Learning, HKUST, Fall 2022
Vanditg/COMP-SCI-7314---Introduction-to-Statistical-Machine-Learning
This repository contains assignments solutions for one of my postgraduate subjects of COMP SCI 7314 - Introduction to Statistical Machine Learning. The programming language is Python.
anubhavshrimal/SML-Malaria-Detection
Compare Naive Bayes, SVM, XGBoost, Bagging, AdaBoost, K-Nearest Neighbors, Random Forests for classification of Malaria Cells
iamjagdeesh/Machine-Learning-Assignments
CSE 575 Statistical Machine Learning
rhnfzl/SqueakyCleanText
Clean your Text for Statistical ML and Language Model
TomatoFT/Speech-Emotion-Recognition
Recognizing the emotion of an speech audio with ConvNet, SVM, KNN and Logistic Regression
aryamanjeendgar/LogGENE
Code for the paper: LogGENE, A Smooth alternative for the Check Loss
ashutoshtiwari13/Statistical-Learning-Hub
Attempting to make Statistics for Machine Learning easy to learn and understand
AyeshaUlde/BOCD
Python implementation of Bayesian Online Changepoint Detection, Adams, R. P., & MacKay, D. J. C. (2007)
Cstats-learner/statistical-Machine-learning
machine learning is a combination of statistics,computer science and mathematics. It uses a lot of statistical tool and mainly a lot of interpretation terms are adapt from statistics .So here I will add little but important concepts of statistics in ML.
FandM-CARES/clark
Conversational Lexical Affect Recognition Kit
LossJ/Statistical-Machine-Learning
Loss J's statistical machine learning course. 🚀
paidamoyo/calibration_uncertainty_t2e
IEEE TNNLS 2020: "Calibration and Uncertainty in Neural Time-to-Event Modeling"
Vikranth3140/CSE342-SML
Statistical Machine Learning is a 3xx-level course offered to undergrads at IIIT-Delhi.
arahatashun/Statistical_Machine_Learning
Assignments of lecture
coinslab/StatPruneNet
Development and Evaluation of Neural Net Sensitivity-Based Pruning Algorithms Using Statistical Inference
igabr/TTIC_STATML
TTIC Statistical Machine Learning
Junkohoutarou/Statistical-Machine-Learning
Học máy thống kê
Marmingen/SML-lead-analysis
Analyzing the binary gender difference in lead roles using statistical machine learning
pourmand1376/SML-projects
Statistical Machine Learning coursework (Sharif University of technology)
Szymon-Budziak/Elements_of_Statistical_Machine_Learning_course_AGH
Solutions from Elements of Statistical Machine Learning course at AGH UST. If you use it and it helped you please leave a star ⭐
Tanarhw/Income-Level-ML-Classifier
A supervised machine learning project where I develop a number of models to classify an individual's income level using census data.
hiyuchang/MATH5470-SML
My assignments/project for MATH5470 Statistical Machine Learning
jakeberggren/TDDE16-Text-Mining-Project
Project in the course TDDE16 - Text Mining at Linköping University
LucaNyckees/graph-label-propagation
The goal of this project is to implement a graph label propagation method to study and classify image data. The method has the particularity that it combines well with other classifiers to achieve enhanced performance.
tzhern/COMP90051-Project-1
Authorship attribution is a task to identify the author of a given document. Our task is to come up with test predictions for an authorship attribution problem given a training set and test inputs.
Ubriacopo/muffin-stat-project
The Muffin vs Chihuahua NN assignment for the Statistical Methods for ML course of UNIMi.
GinoShun/Steam-Game-Recommendation-System
This project aim to build a recommendation system for Steam games. It utilizes different machine learning models including LSTM, ResNet, and NCF (Neural Collaborative Filtering) to predict and recommend games based on user data and interactions.
Junkohoutarou/Data-exploration
Building a data exploration application.
Junkohoutarou/Pneumonia-Detection
Building an application for pneumonia detection from X-ray images
pranavgautam29/flight-price-prediction
The Flight Price Prediction project uses machine learning to forecast flight ticket prices based on historical data. Hosted on Streamlit Community Cloud and deployed via Streamlit, this application allows users to input flight details such as departure and arrival airports, travel dates, and class to receive accurate price predictions.
sinhasagar507/Ames-house-price-prediction
Developed and deployed a predictive model for estimating housing prices using the Ames Housing Dataset. Utilized advanced regression techniques and feature engineering to achieve high accuracy. Successfully implemented the model as an interactive web application on Streamlit, enabling real-time predictions.
tinnguyen96/mini-pac-bayes-tree
Essential files for pac-bayes-tree