Here you'll find all the code/visual resources used within the Neural Bits articles and end-to-end courses.
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To ensure smooth navigation throughout the repositories, check the following table: 🔽
| Topic | Description | Source |
|---|---|---|
| End-to-End Vision System | A complex system including data pipelines, annotation, QAs, MLOps, Model Distillation, Finetuning, Optimizing, Evaluating, Deploying and Monitoring, following best MLOps Practices | Soon |
| Multi-Modal RAG System | A complex system solving a real-world problem using multiple modalities, LLMs, RAG, LLMOps and more | Soon |
| Module | Description | Resources |
|---|---|---|
| Deep Learning | Hub for various deep learning tutorials, notebooks, and exercises. | |
| Computer Vision | Projects on Computer Vision, including Object Detection, Object Segmentation, Classification and more | 🚀 Computer Vision Hub |
| AI Programming Languages | Tutorials on AI Programming Languages (Mojo, Triton, JAX, JIT, Numba, Cython) | 🚀 AI Programming Hub |
| Generative AI | Tutorials and courses on building LLM/VLM/RAG-powered applications. | |
| Production Deployments | Tutorials and concepts on efficient model optimization for production environments. | 🚀 Production Hub |
| MLOps | Practical MLOps applied to data-intensive deep learning systems |
the contents of which will be updated frequently.
Deep Learning Systems don't have to be complex, you just need the right resources -> get access to expert insights, bit by bit, week by week! To stay up to date:
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