There are 17 repositories under applied-machine-learning topic.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Python solutions to solve practical business problems.
📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.
Curated list of technical blogs on machine learning · AI/ML/DL/CV/NLP/MLOps
Detecting cinema shot types using a ResNet-50
Live-Transcription (STT) with Whisper PoC
📚 Curated collection of engineering blogs detailing real-world applications of LLMs in solving specific business problems.
📚「@MaiweiAI」Studying papers in the fields of computer vision, NLP, and machine learning algorithms every week.
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.
📚 Curated list of machine learning engineering blogs.
Machine learning Regression problem with easy understandable solutions
Unity's Privacy-Preserving Novel Human Body Model Trained Solely on Synthetic Data and Corresponding Dense Anthropometric Measurements
My Assignment Submission made during the course 📙
📚 Curated collection of blogs and papers on how different companies are using machine learning in production for better customer support.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A curated list of resources to deep dive into the intersection of applied machine learning and threat detection.
This Repo contains - Starter files, Coursework, Programming Assignments for the course --> Applied Machine Learning in Python, University of Michigan [COURSERA]
Dream prediction by using neural networks on EEG time series collected from sleeping humans.
A collection of awesome software, learning tutorials, theoretical resources, books and videos, best practices in applied cryptography.
Remaining useful life estimation, Predictive maintenance
This project is the applied data science capstone project provided by IBM.
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!
Intelligent System Applications (ISA_I) @ FIIT STU in Bratislava
Machine Learning-based research for UPMC
Applied Machine Learning Online Course Solutions | Category: AI & Machine Learning
This repository contains my well documented solutions to Applied Machine Learning with Python course on coursera by University of Michigan
This is the final project for NCTU Applied CV Course Fall 2020
Machine Learning and Deep Learning in Bioinformatics - Master's thesis repository
Courses I have completed in Coursera
Predicting opioid misuse using the National Survey on Drug Use and Health.
Automated the process of training time-series data with multiple Machine Learning and Stats Models to output the most accurate forecast result
State-Of-The-Art Transformer Models
Implementation of various of algorithms such as EM for Topic Modeling, High Dim. Classification, PCA, etc. described in "Applied Machine Learning" by David Forsyth
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)
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’.