Symplectic Gradient AdjustmentA colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"
Stars: ✭ 148 (-1.33%)
Pytorch Tutorials Kr🇰🇷PyTorch에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch tutorials in Korean🇰🇷)
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ReferReferring Expression Datasets API
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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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Nlp adversarial examplesImplementation code for the paper "Generating Natural Language Adversarial Examples"
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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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Keras Trigger WordHow to do Real Time Trigger Word Detection with Keras | DLology
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TestovoeHome assignments for data science positions
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Phonetic Similarity VectorsSource code to accompany my paper "Poetic sound similarity vectors using phonetic features"
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Feature SelectorFeature selector is a tool for dimensionality reduction of machine learning datasets
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ForecastingTime Series Forecasting Best Practices & Examples
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SlayerpytorchPyTorch implementation of SLAYER for training Spiking 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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Transformers RuA list of pretrained Transformer models for the Russian language.
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CpndetCorner Proposal Network for Anchor-free, Two-stage Object Detection
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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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Nyc TransportA Unified Database of NYC transport (subway, taxi/Uber, and citibike) data.
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Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
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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.
Stars: ✭ 146 (-2.67%)
D6tstackQuickly ingest messy CSV and XLS files. Export to clean pandas, SQL, parquet
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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
Stars: ✭ 149 (-0.67%)
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).
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Machine Learning🌎 machine learning tutorials (mainly in Python3)
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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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Face DepixelizerFace Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.
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BasenjiSequential regulatory activity predictions with deep convolutional neural networks.
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Deep LearningDeep Learning Application Examples
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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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Ml Mooc NptelThis repository contains the Tutorials for the NPTEL MOOC on Machine Learning.
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Deeplearning keras2Modification of fast.ai deep learning course notebooks for usage with Keras 2 and Python 3.
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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 (+0%)
Covid19Analyses about the COVID-19 virus
Stars: ✭ 149 (-0.67%)