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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h2o-3 🌿
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H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

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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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Landuse_DL 🌿
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Land use classification or Landform delineation on remote sensing images. Specifically, this repo is to delineate landforms due to the thawing of ice-rich permafrost using Deep Learning.

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