NotebookCollection of jupyter notebooks for demonstrating software.
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Machine Learning🌎 machine learning tutorials (mainly in Python3)
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Image Caption Generator[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
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Cognitive Vision PythonJupyter Notebook with Python samples for the Cognitive Services Computer Vision API
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RaspberryturkThe Raspberry Turk is a robot that can play chess—it's entirely open source, based on Raspberry Pi, and inspired by the 18th century chess playing machine, the Mechanical Turk.
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Fairseq Zh EnNMT for chinese-english using fairseq
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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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Kaggle LearningRepository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).
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PennaiPennAI: AI-Driven Data Science
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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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AgemOfficial implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow
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Memflowphysical memory introspection framework
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Stanford cs231n 2019Solutions and comments to assignments for 2019 Stanford's course on convolutional neural networks
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Pytorch Pose EstimationPyTorch Implementation of Realtime Multi-Person Pose Estimation project.
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Swift4tfA set of notebooks explaining swift for tensorflow optimized to run in Google Collaboratory.
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ReferReferring Expression Datasets API
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VaalVariational Adversarial Active Learning (ICCV 2019)
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Data science blogsA repository to keep track of all the code that I end up writing for my blog posts.
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Improved Seam CarvingA numpy implementation of forward energy from the paper “Improved Seam Carving for Video Retargeting" (2008)
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NlpaugData augmentation for NLP
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Example SeldonExample for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core
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Stanford Cs229Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng
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VdeVariational Autoencoder for Dimensionality Reduction of Time-Series
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PopmusicmakerPop Music Maker built on HMM and Random Forest-like structure. Inspired by the desire to build my own model can serve as alternative to LSTMs / deep learning in generating pop music. Website is currently down due to costs incurred.
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CorusLinks to Russian corpora + Python functions for loading and parsing
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Dash ethThis project is trying to fetch real time balance & orderbook of ETH and visualise using dash
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Symplectic Gradient AdjustmentA colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"
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Nbconvert ExamplesExamples that illustrate how nbconvert can be used
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NbashotsNBA shot charts using matplotlib, seaborn, and bokeh.
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DavsodShifting More Attention to Video Salient Objection Detection, CVPR 2019 (Best paper finalist & Oral)
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Py Rfcn Privcode for py-R-FCN-multiGPU maintained by bupt-priv
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PycroscopyScientific analysis of nanoscale materials imaging data
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Book nbsNotebooks for upcoming fastai book (draft / incomplete)
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Cs231nhomework for CS231n 2017
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