Nyc TransportA Unified Database of NYC transport (subway, taxi/Uber, and citibike) data.
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CpndetCorner Proposal Network for Anchor-free, Two-stage Object Detection
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Data structures and algorithms in python📖 Worked Solutions of "Data Structures & Algorithms in Python", written by Michael T. Goodrich, Roberto Tamassia and Michael H. Goldwasser. ✏️
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Stock Price PredictorThis project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
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Machine Learning🌎 machine learning tutorials (mainly in Python3)
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Covid 19 Eda TutorialThis tutorial's purpose is to introduce people to the [2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE](https://github.com/CSSEGISandData/COVID-19) and how to explore it using some foundational packages in the Scientific Python Data Science stack.
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Deep LearningDeep Learning Application Examples
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Transformers RuA list of pretrained Transformer models for the Russian language.
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Computer visionC/C++/Python based computer vision models using OpenPose, OpenCV, DLIB, Keras and Tensorflow libraries. Object Detection, Tracking, Face Recognition, Gesture, Emotion and Posture Recognition
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D6tstackQuickly ingest messy CSV and XLS files. Export to clean pandas, SQL, parquet
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Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
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Pachong一些爬虫的代码
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BasenjiSequential regulatory activity predictions with deep convolutional neural networks.
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Time Series Forecasting Of Amazon Stock Prices Using Neural Networks Lstm And GanProject analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.
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ReferReferring Expression Datasets API
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TestovoeHome assignments for data science positions
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PyomogalleryA collection of Pyomo examples
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VdeVariational Autoencoder for Dimensionality Reduction of Time-Series
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Ml Mooc NptelThis repository contains the Tutorials for the NPTEL MOOC on Machine Learning.
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Pytorch Tutorials Kr🇰🇷PyTorch에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch tutorials in Korean🇰🇷)
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Deeplearning ImageIntroduction to Deep Learning for Image Recognition
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ForecastingTime Series Forecasting Best Practices & Examples
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Feature SelectorFeature selector is a tool for dimensionality reduction of machine learning datasets
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Project kojakTraining a Neural Network to Detect Gestures and Control Smart Home Devices with OpenCV in Python
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SlayerpytorchPyTorch implementation of SLAYER for training Spiking Neural Networks
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StereoconvnetStereo convolutional neural network for depth map prediction from stereo images
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Learning by associationThis repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CVPR 2017) and the follow-up work Associative Domain Adaptation (ICCV 2017).
Stars: ✭ 150 (+1.35%)
Face DepixelizerFace Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.
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PracticaldlA Practical Guide to Deep Learning with TensorFlow 2.0 and Keras materials for Frontend Masters course
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