BeakerxBeaker Extensions for Jupyter Notebook
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Pixel level land classificationTutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
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MegnetGraph Networks as a Universal Machine Learning Framework for Molecules and Crystals
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Jsanimation[DEPRECATED] An IPython notebook-compatible Javascript/HTML viewer for matplotlib animations
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FusenetDeep fusion project of deeply-fused nets, and the study on the connection to ensembling
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50 Days Of MlA day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects
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Rl Adventure 2PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
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TensorfaceThis repo is deprecated, please use Deep Video Analytics which implements face recognition using TensorFlow and Facenet.
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DatasetsA collection of all my datasets
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Python lectures파이썬Python 강의에 사용되는 소스코드Source Code와 강의 자료들을 모은 repository 입니다.
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Snap N EatFood detection and recommendation with deep learning
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Swiftopenposetf-openpose Based iOS Project
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Numerical Linear Algebra V2Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program
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Pytorch SuperpointSuperpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
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Cd4ml WorkshopRepository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops
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Pytorch ByolPyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
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WorldmodelsAn implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf
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Pytorch Transformers ClassificationBased on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.
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TutmomTutorial on "Modern Optimization Methods in Python"
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Cellposea generalist algorithm for cellular segmentation
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PythonnumericaldemosWell-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
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Kekoxtutorial전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.
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ScnnSegment-CNN: A Framework for Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs
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Skiftscikit-learn wrappers for Python fastText.
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SquadBuilding QA system for Stanford Question Answering Dataset
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Emnlp 2019 PapersStatistics and Accepted paper list with arXiv link of EMNLP-IJCNLP 2019
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PikrellcamRaspberry Pi motion vector detection program with OSD web interface.
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Godot oculus quest toolkitAn easy to use VR toolkit for Oculus Quest development using the Godot game engine
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Best Of Jupyter🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.
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BookDeep Learning 101 with PaddlePaddle (『飞桨』深度学习框架入门教程)
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DeeplearningSome practices about deep learning
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Gpt2botYour new Telegram buddy powered by transformers
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MdrepoRepositório para armazenamento de código e notebooks de postagens do blog e cursos.
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Tacotron2Tacotron 2 - PyTorch implementation with faster-than-realtime inference
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Hindi2vecState-of-the-Art Language Modeling and Text Classification in Hindi Language
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Vae Cvae MnistVariational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
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TcdfTemporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
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Kitti tutorialTutorial for using Kitti dataset easily
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