N2TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets
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Scene Graph Benchmark.pytorchA new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”
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MemeprojectDank Learning codebase, generate a meme from any image using AI. Uses a modified version of the Show and Tell image captioning network
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Jupyter DashDevelop Dash apps in the Jupyter Notebook and JupyterLab
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PbaEfficient Learning of Augmentation Policy Schedules
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Neural Turing MachinesAttempt at implementing system described in "Neural Turing Machines." by Graves, Alex, Greg Wayne, and Ivo Danihelka. (http://arxiv.org/abs/1410.5401)
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Hyperparameter OptimizationImplementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
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Fastquantfastquant — Backtest and optimize your trading strategies with only 3 lines of code!
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Deep Learning Traffic LightsCode and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge
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Udacity Deep LearningUdacity Deep Learning MOOC assignments
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CovidifyCovidify - corona virus report and dataset generator for python 📈
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GanttsPyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)
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Additive Margin SoftmaxThis is the implementation of paper <Additive Margin Softmax for Face Verification>
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Rl BookSource codes for the book "Reinforcement Learning: Theory and Python Implementation"
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Timeseries seq2seqThis repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.
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