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The Top 23 Jupyter Notebook Paper Open Source Projects

Open source projects categorized as Jupyter Notebook Paper
Categories > Data Processing > Jupyter Notebook
Multi Resolution Texture Synthesis ⭐ 97
Based on “Fast Texture Synthesis using Tree-structured Vector Quantization” and “Multiresolution Sampling Procedure for Analysis and Synthesis of Texture Images” papers
most recent commit 4 years ago
Ubernet ⭐ 96
Demo for CVPR 2017 paper
most recent commit 7 years ago
Naturallanguagerecommendations ⭐ 94
Getting recommendations from natural language
most recent commit 4 years ago
Nupic.research ⭐ 94
Experimental algorithms. Unsupported.
most recent commit a year ago
Ml Readings ⭐ 94
A list of papers / videos / tutorials / blog posts on machine learning
most recent commit 2 years ago
Arbitragerepair ⭐ 93
Python modules and jupyter notebook examples for the paper Detect and Repair Arbitrage in Price Data of Traded Options.
most recent commit 3 months ago
Optic Nerve Cnn ⭐ 92
Code repository for a paper "Optic Disc and Cup Segmentation Methods for Glaucoma Detection with Modification of U-Net Convolutional Neural Network"
most recent commit 2 years ago
Deep Learning Specialization Coursera ⭐ 92
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
most recent commit 6 years ago
Fromage ⭐ 92
🧀 Pytorch code for the Fromage optimiser.
most recent commit 3 years ago
Lstm_chem ⭐ 91
Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.
most recent commit 3 years ago
Robustness_applications ⭐ 91
Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"
most recent commit 4 years ago
Biogans ⭐ 91
Implementation supporting the ICCV 2017 paper "GANs for Biological Image Synthesis"
most recent commit 6 years ago
Metahin ⭐ 91
Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"
most recent commit 2 years ago
Pgexplainer ⭐ 90
Parameterized Explainer for Graph Neural Network
most recent commit a year ago
Deep Portfolio Theory ⭐ 89
Autoencoder framework for portfolio selection (paper published by J. B. Heaton, N. G. Polson, J. H. Witte.)
most recent commit 4 years ago
Histogramloss ⭐ 88
This repository contains code for paper "Learning Deep Embeddings with Histogram Loss" (NIPS2016)
most recent commit 6 years ago
Aftershocks_issues ⭐ 88
Issues with Deep Learning of Aftershocks by DeVries
most recent commit 5 years ago
Scientificsummarizationdatasets ⭐ 88
Datasets I have created for scientific summarization, and a trained BertSum model
most recent commit 4 years ago
Mc_gradients ⭐ 87
most recent commit 4 years ago
Camconvs ⭐ 87
Code for the CVPR paper "CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth"
most recent commit 2 years ago
Resourceify ⭐ 87
A curated list of everything you need in the field of Data Science, Machine Learning, and Artificial Intelligence including but not limited to Online Courses, Documentations, Blogs, Podcasts, Cheatsheets, research papers, latest developments etc.. arranged in sub-domains and further by the language or framework being used.
most recent commit 6 months ago
Simsiam Tf ⭐ 86
Minimal implementation of SimSiam (https://arxiv.org/abs/2011.10566) in TensorFlow 2.
most recent commit 3 years ago
Learning Invariances ⭐ 85
Codebase for Learning Invariances in Neural Networks
most recent commit 2 years ago
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