365-Day-of-Repos

I'm going to try to publish a repo every day in 2025.

Month 1 Roadmap: AI & Development Foundations

Week 1: PyTorch & Neural Network Foundations

Focus on building core neural network components and utilities.

Day	Project Title	Description	Tools/Frameworks
1	PyTorch Basics Library	Core tensor operations and utilities	PyTorch, NumPy
2	Neural Network Building Blocks	Reusable layer components and architectures	PyTorch
3	Training Framework	Standardized training loop interface and tools	PyTorch
4	Data Processing Pipeline	Dataset classes and transformations	PyTorch, NumPy
5	Model Zoo	Canonical model architectures	PyTorch
6	Visualization Suite	Training visualization and model inspection	PyTorch, Plotly
7	Experiment Management	Experiment tracking and analysis system	MLflow, PyTorch

Week 2: Language Models & Neural Architectures

Focus on implementing fundamental AI architectures and LLM components.

Day	Project Title	Description	Tools/Frameworks
8	Simple Transformer	Basic transformer architecture implementation	PyTorch
9	LLM Fine-tuning Framework	Tools for fine-tuning language models	PyTorch, Transformers
10	Neural Adapter System	Framework for model adaptation and transfer	PyTorch
11	Attention Mechanisms	Collection of attention implementations	PyTorch
12	Embedding Tools	Text and token embedding utilities	PyTorch, NLTK
13	Model Compression	Weight pruning and quantization tools	PyTorch
14	Training Pipeline	End-to-end training system for LLMs	PyTorch, Transformers

Coming Up in January

Week 3: Advanced AI Applications (TBD)

Building practical AI applications including speech processing, autonomous agents, and multimodal systems.

Week 4: AI Infrastructure & Deployment (TBD)

Creating scalable AI infrastructure, model serving, and deployment tools.

Stay tuned for updates!