applied-machine-learning
There are 85 repositories under applied-machine-learning topic.
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
firmai/python-business-analytics
Python solutions to solve practical business problems.
enlite-ai/maze
Maze Applied Reinforcement Learning Framework
eugeneyan/applyingml
📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.
rsomani95/shot-type-classifier
Detecting cinema shot types using a ResNet-50
gaborvecsei/whisper-live-transcription
Live-Transcription (STT) with Whisper PoC
antoinebrl/awesome-ml-blogs
Curated list of technical blogs on machine learning · AI/ML/DL/CV/NLP/MLOps
Charmve/PaperWeeklyAI
📚「@MaiweiAI」Studying papers in the fields of computer vision, NLP, and machine learning algorithms every week.
louisyuzhe/car-damage-detector
Mask R-CNN Model to detect the area of damage on a car. The rationale for such a model is that it can be used by insurance companies for faster processing of claims if users can upload pics and they can assess damage from them. This model can also be used by lenders if they are underwriting a car loan especially for a used car.
SanikaVT/Real-Estate
Machine learning Regression problem with easy understandable solutions
Unity-Technologies/AnthroNet
Unity's Privacy-Preserving Novel Human Body Model Trained Solely on Synthetic Data and Corresponding Dense Anthropometric Measurements
primaprashant/ml-engineering-blogs
📚 Curated list of machine learning engineering blogs.
Jatin-8898/coursera
My Assignment Submission made during the course 📙
AziziShekoofeh/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
patternex/awesome-ml-for-threat-detection
A curated list of resources to deep dive into the intersection of applied machine learning and threat detection.
primaprashant/ai-customer-support
📚 Curated collection of blogs and papers on how different companies are using machine learning in production for better customer support.
primaprashant/llms-in-production
📚 Curated collection of engineering blogs detailing real-world applications of LLMs in solving specific business problems.
TSG405/Applied-Machine-Learning-in-Python
This Repo contains - Starter files, Coursework, Programming Assignments for the course --> Applied Machine Learning in Python, University of Michigan [COURSERA]
effervescent-shot/Dream-Prediction
Dream prediction by using neural networks on EEG time series collected from sleeping humans.
SureshAthanti/Predictive_Maintenance_Project
Remaining useful life estimation, Predictive maintenance
FIIT-ISA/ISA-course
ISA_I 2024/2025 @ FIIT STU in Bratislava
JTP75/Time-Series-Forecasting-UPMC
Machine Learning-based research for UPMC
paulveillard/cybersecurity-applied-cryptography
A collection of awesome software, learning tutorials, theoretical resources, books and videos, best practices in applied cryptography.
santhoshse7en/Applied_Machine_Learning_Online_Course_Solutions
Applied Machine Learning Online Course Solutions | Category: AI & Machine Learning
Tanuj2552/Applied-ML-with-Python-Solutions
This repository contains my well documented solutions to Applied Machine Learning with Python course on coursera by University of Michigan
alexivaner/Applied-CV-Zero-DCE-master
This is the final project for NCTU Applied CV Course Fall 2020
gunapandianraj/Applied-Data-Science
Applied machine learning coursera materials
Kartik17/Coursera---Courses
Courses I have completed in Coursera
longchaoliu/predicting-opioid-misuse
Predicting opioid misuse using the National Survey on Drug Use and Health.
louisyuzhe/timeseries-forecast-automation
Automated the process of training time-series data with multiple Machine Learning and Stats Models to output the most accurate forecast result
mejbass/OpenSource-Applied-Artificial-Intelligence-Subjects
Applied artificial intelligence is the implementation of AI tech to solve real world problems. It is a rapidly growing field that is set to shape our future with cutting edge technologies and perhaps even change the world as we know it today!
ndoll1998/AppliedTransformers
State-Of-The-Art Transformer Models
1AyaNabil1/IBM-Applied-Data-Science-Capstone-Project
This project is the applied data science capstone project provided by IBM.
OlaPietka/Applied-Machine-Learning
Implementation of various of algorithms such as EM for Topic Modeling, High Dim. Classification, PCA, etc. described in "Applied Machine Learning" by David Forsyth
SaniyaAbushakimova/Red-Wine-Quality-Classification-using-Supervised-Learning
Conducted data analysis using statistical tools and complex visualizations; trained logistic regression, k-nn, kernelized svm, and random forest models; performed hyperparameter tuning and error analysis. Tech: Python (Seaborn, Matplotlib, Pandas, Scikit-Learn)
shahrukhx01/reproducible-dl-course
The aim of this practical course is to start from a simple deep learning model implemented in a notebook, and port it to a ‘reproducible’ world by including code versioning (Git), data versioning (DVC), experiment logging (Weight & Biases), hyper-parameter tuning, configuration (Hydra), and ‘Dockerization’.