Educational Implementation · Jupyter Notebook
deep-learning
My solutions to the assignments of deep learning course
What it is
The repository contains three educational components: a machine learning assignment for text classification using embeddings and classical models, a Jupyter notebook demonstrating an LLM-based agent playing the 2048 game, and a script for sampling and plotting normal distributions.
Merit describes the code at this commit. Later pushes count once the owner rescans. How merit is scored
Where it counts
- Machine Learning80%
- NLP & LLMs70%
- Data Science60%
- AI Agents60%
How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.
Around it on the Machine Learning board
Whole board- 71, shared rankNeuroTraceML Application · Python49.2ImplementationIrine MiltonMachine Learning
- 71, shared ranksocrateLibrary / Framework · Jupyter Notebook49.2Implementationvlad andreiMachine Learning
- 73, shared rankVISTAArchitecture Modification / Research · Jupyter Notebook48.5ImplementationSuceveanu Mircea Dan SanduMachine Learning
- 73, shared rankdeep-learningEducational Implementation · Jupyter Notebook48.5ImplementationVraj PatelMachine Learning
- 75automatos-voiceML Application · Python48.2ImplementationAutomatos AIMachine Learning