A Unity project template provided by Motive.io to use in parallel with the Motive.io authoring tool.
BFCheck: Fine-Grained Checkpointing via Bandwidth-Aware Partitioning for Distributed LLM Training
ML-powered outfit recommendation system that combines **content-based filtering, collaborative filtering (SVD), and clustering (K-Means)** over relational CSV datasets, with extensions toward **image-based visual similarity** using deep learning embeddings. Built with Python, FastAPI, and Streamlit.
The basic machine learning model is trained, tested, and used. how to use teachable machines for basic ML projects and get familiar with machine learning concepts classes, test data, train data, accuracy, training model. by applying in the model trained.
machine learning model training
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