Symplectic Gradient AdjustmentA colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"
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Covid19Analyses about the COVID-19 virus
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VdeVariational Autoencoder for Dimensionality Reduction of Time-Series
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Deep Face RecognitionOne-shot Learning and deep face recognition notebooks and workshop materials
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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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PyomogalleryA collection of Pyomo examples
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Keras Trigger WordHow to do Real Time Trigger Word Detection with Keras | DLology
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ReferReferring Expression Datasets API
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ForecastingTime Series Forecasting Best Practices & Examples
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TestovoeHome assignments for data science positions
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SlayerpytorchPyTorch implementation of SLAYER for training Spiking Neural Networks
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Python4dsJupyter Notebooks used on my DataScience projects
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Phonetic Similarity VectorsSource code to accompany my paper "Poetic sound similarity vectors using phonetic features"
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Anomaly detection tutoAnomaly detection tutorial on univariate time series with an auto-encoder
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Deepschool.ioDeep Learning tutorials in jupyter notebooks.
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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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Transformers RuA list of pretrained Transformer models for the Russian language.
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D6tstackQuickly ingest messy CSV and XLS files. Export to clean pandas, SQL, parquet
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Machine Learning🌎 machine learning tutorials (mainly in Python3)
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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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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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BasenjiSequential regulatory activity predictions with deep convolutional neural networks.
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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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CpndetCorner Proposal Network for Anchor-free, Two-stage Object Detection
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Testbook🧪 📗 Unit test your Jupyter Notebooks the right way
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Deeplab v2基于v2版本的deeplab,使用VGG16模型,在VOC2012,Pascal-context,NYU-v2等多个数据集上进行训练
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Nyc TransportA Unified Database of NYC transport (subway, taxi/Uber, and citibike) data.
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Nlp adversarial examplesImplementation code for the paper "Generating Natural Language Adversarial Examples"
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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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Pytorch Tutorials Kr🇰🇷PyTorch에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch tutorials in Korean🇰🇷)
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