cs582/Airbnb-NYC_Customer-Segmentation

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Created about 4 years ago
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cs582/Airbnb-NYC_Customer-Segmentation

cs582

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Use the K-means algorithm to partition the databse of Airbnb users in New York City and identify suspicious users

facial-expression-recognition

Implemented deep neural networks to classify facial expressions, as well as object detection using the haar algorithm to make real-time facial expression recognition.

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GAN_and_Diffusion_Models

PyTorch implementation from scratch of Generative Adversarial Networks and Diffusion Models

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SignatureWorkReinforcementLearning

Using Deep Reinforcement Learning for Asset Management

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CLIP_implementation

From scratch implementation of OpenAI's CLIP

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