Actively developed Deep Learning applications and libraries

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chess-engine πŸ‚
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A Deep-Learning Chess Engine with some awesome features

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Machine Learning and Deep Learning lessons.

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Developed using Pybullet, OpenCV and Deep Learning

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This project contains codes for solving complex problems with Spark. It also shows extension of new libraries and API with Spark such as Deep Learning with Spark, Geo-spatial analytics with Spark etc

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(no description)

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The full collection of all codes for my Youtube Channel segregated as per topic.

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MOAI MCRC Deep Learning Challenge for urinary stone challenge Solution

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OCT Surface Segmentation, OCT to Systemic Disease, Ovarian cancer prediction.

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Classification of the MNIST dataset using various Deep Learning techniques

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Image processing is one of the most common term in computer vision. Computer vision is the process by which computers can understand images and videos, and how they are stored, manipulated, and retrieve details from them. OpenCV is an open source computer vision image processing library for machine learning, deep leaning and AI application which plays a major role in real-time operation which is very important in today’s systems.

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