Data Science PortfolioA Portfolio of my Data Science Projects
Stars: ✭ 149 (+0.68%)
Mutual labels: jupyter-notebook
Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stars: ✭ 2,337 (+1479.05%)
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Transformers RuA list of pretrained Transformer models for the Russian language.
Stars: ✭ 150 (+1.35%)
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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
Stars: ✭ 150 (+1.35%)
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Ml Mooc NptelThis repository contains the Tutorials for the NPTEL MOOC on Machine Learning.
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Nlp adversarial examplesImplementation code for the paper "Generating Natural Language Adversarial Examples"
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Feature SelectorFeature selector is a tool for dimensionality reduction of machine learning datasets
Stars: ✭ 1,913 (+1192.57%)
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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.
Stars: ✭ 150 (+1.35%)
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SlayerpytorchPyTorch implementation of SLAYER for training Spiking Neural Networks
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AutonomousdrivingcookbookScenarios, tutorials and demos for Autonomous Driving
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TestovoeHome assignments for data science positions
Stars: ✭ 149 (+0.68%)
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Deeplearning keras2Modification of fast.ai deep learning course notebooks for usage with Keras 2 and Python 3.
Stars: ✭ 150 (+1.35%)
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PyomogalleryA collection of Pyomo examples
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StereoconvnetStereo convolutional neural network for depth map prediction from stereo images
Stars: ✭ 150 (+1.35%)
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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%)
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Face DepixelizerFace Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.
Stars: ✭ 1,912 (+1191.89%)
Mutual labels: jupyter-notebook