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A dynamically adjustable scoring calculator with a lighthouse style data visualization. Get a score between 0 to 100 from data, with dynamically adjustable target value, a from -5 to +5 adjustable bias , and a self adjusting weighting system.
A Low-Rank Adaptation of a pretrained Stable Diffusion model that generates background scenery. Trained with PyTorch, and deployed with AWS EC2 and Ngrok.
Llama3 Trainer aims to provide a CLI interface to orchestrate the fine-tuning of open source AI models, such as Llama3, using 3rd party services, such as [Lambda Cloud](https://lambdalabs.com/), [Hugging Face](https://huggingface.co/) and [Weights & Biases](https://wandb.ai).
Step into the realm of Emotion Detection Generalization! Uncover the power of deep learning as we decode human emotions from facial images. Explore our arsenal of fine-tuned CNN models and curated datasets, shaping a future where technology empathizes and connects on a deeper level. Revolutionize human-computer interaction with us today!
Proyecto de predicción de imagen mediante Deep Learning, control de versiones con git, control de data con DVC, exportación de modelos con ONNX, uso de FastAPI y uso de Docker para paquetizar. Despliegue en Azure App Services
🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴