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| Item Details | Price | ||
|---|---|---|---|
| Tool | What it does / Strengths | When to use it |
|---|---|---|
| TensorFlow | Deep learning framework by Google; huge ecosystem; works for both research & production. (DigitalOcean) | If you’re building CNNs, RNNs, huge training jobs, or want deployable production models. |
| PyTorch | Another huge deep learning framework; very popular in research; more flexible/eager execution style. (DigitalOcean) | Rapid prototyping; when you want more straightforward debugging; many state-of-art models are built on it. |
| OpenCV | Computer vision library: image processing, detection, etc. (n8n Blog) | For vision tasks: image segmentation, object detection, image manipulation. |
| NNI (Neural Network Intelligence) | Microsoft’s toolkit for AutoML: helps with hyperparameter tuning, architecture search, etc. (Wikipedia) | When you want to optimize your models without manual hyper-tuning. |
| CVAT (Computer Vision Annotation Tool) | Web-based tool for labeling images/videos (object detection, segmentation) for ML datasets. (Wikipedia) | If you need to build or prepare your dataset with annotations. |
| Detectron2 | From Facebook (FAIR); object detection & segmentation models; powerful and modular. (University of San Diego Online Degrees) | For advanced vision tasks: if you need segmentation, detection with good performance. |
| FAISS | Facebook AI Similarity Search – efficient vector similarity search library. (cake.ai) | For retrieval, embeddings, recommendation systems, semantic search. |
| Haystack | Framework by deepset for building search / QA / conversational pipelines, especially RAG (retrieval-augmented generation) etc. (cake.ai) | If you want a pipeline: documents → embeddings → search/QA/chatbot. |
| h2oGPT / H2O ecosystem | Open advanced LLMs + GUI, tools; customizable; more transparent / permissive licensing. (arXiv) | For working with LLMs, especially if you want to self-host / fine-tune / avoid black-box API. |
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