Explore projects
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Syetem to predict taxi fare in bhutan
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[Uc3m] The Classic ghost-eating game
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Updated Machine Learning Resources
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✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing a FACE RECOGNITION PROXIA (B) when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY)
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Jax package to work with spiking neural networks.
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It contains all my projects I made in the past 2 years, including smaller programs and bigger applications, from backend to frontend, mainly coded in Java and Python.
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Development of a monitoring system that can identify the quality of the printing on the product using the historical vibration data and the quality and production log data.
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An Active Learning framework for Drug Discovery with the ability to create targeted models for particular experiments
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Word2vec, FastText, GloVE embedding accuracy comparison using analogy, vector-oriented reasoning, synonym and conjugation datasets from multiple sources.
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Christopher Zinda / NeuralNetTest
Creative Commons Attribution Non Commercial Share Alike 4.0 InternationalTest project for neural networks - Handwritten digit recognition on MNIST dataset
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Prashant Sanghal / text-difficulty-prediction
MIT LicenseUMSI-Wikipedia Text Difficulty Prediction (NLP Project)
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Prashant Sanghal / Springboard-Data-Science
MIT LicenseCapstone 1: Caterpillar Tube Pricing Prediction & Categorization. Capstone 2:Pipeline Multi-Leak Classification.
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In MT-BERT we reproduce a neural language understanding model which implements a Multi-Task Deep Neural Network (MT-DNN) for learning representations across multiple NLU tasks.
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Derek Goddeau / torchmetal
MIT LicenseA library for Meta-Learning and Few-Shot Learning with PyTorch.
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📚 📐 Repository to historically learn about step-by-step mathematics for machine learning.Updated -
Dockerized Python microservice with REST API for verbs conjugation in French, Spanish and Portuguese
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RedDeadRecovery / SupeRAuGAN
MIT LicenseIn SupeRAuGAN we implement a novel data augmentation technique tailored to Generative Adversarial Networks in order to reduce discriminator overfitting and stabilize training
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