All Projects → Jupyterhub → Similar Projects or Alternatives

6012 Open source projects that are alternatives of or similar to Jupyterhub

Kalman
Some Python Implementations of the Kalman Filter
Stars: ✭ 619 (-90.46%)
Mutual labels:  jupyter-notebook
Deeplearning.ai jupyternotebooks
DeepLearning.ai课程学习Jupyter Notebook作业
Stars: ✭ 523 (-91.94%)
Mutual labels:  jupyter-notebook
Tensorflow Workshop
Slides and code from our TensorFlow workshop.
Stars: ✭ 719 (-88.92%)
Mutual labels:  jupyter-notebook
Tf Tutorials
A collection of deep learning tutorials using Tensorflow and Python
Stars: ✭ 524 (-91.92%)
Mutual labels:  jupyter-notebook
Deeplearning Assignment
深度学习笔记
Stars: ✭ 619 (-90.46%)
Mutual labels:  jupyter-notebook
Wikipedia Data Science
Working with and analyzing Wikipedia Data
Stars: ✭ 522 (-91.95%)
Mutual labels:  jupyter-notebook
Csp
High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019
Stars: ✭ 695 (-89.29%)
Mutual labels:  jupyter-notebook
Deep Reinforcement Learning For Automated Stock Trading Ensemble Strategy Icaif 2020
Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.
Stars: ✭ 518 (-92.02%)
Mutual labels:  jupyter-notebook
Machine Learning Book
《机器学习宝典》包含:谷歌机器学习速成课程(招式)+机器学习术语表(口诀)+机器学习规则(心得)+机器学习中的常识性问题 (内功)。该资源适用于机器学习、深度学习研究人员和爱好者参考!
Stars: ✭ 616 (-90.51%)
Mutual labels:  jupyter-notebook
Nbviewer App
A Jupyter notebook viewer for macOS
Stars: ✭ 521 (-91.97%)
Mutual labels:  jupyter-notebook
Simclr
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Stars: ✭ 750 (-88.44%)
Mutual labels:  jupyter-notebook
Multilabel Timeseries Classification With Lstm
Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.
Stars: ✭ 519 (-92%)
Mutual labels:  jupyter-notebook
Breast cancer classifier
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
Stars: ✭ 614 (-90.54%)
Mutual labels:  jupyter-notebook
Multi Task Learning Example
A multi-task learning example for the paper https://arxiv.org/abs/1705.07115
Stars: ✭ 517 (-92.03%)
Mutual labels:  jupyter-notebook
Hands On Transfer Learning With Python
Deep learning simplified by transferring prior learning using the Python deep learning ecosystem
Stars: ✭ 694 (-89.3%)
Mutual labels:  jupyter-notebook
Hands On Reinforcement Learning With Python
Hands-On Reinforcement Learning with Python, published by Packt
Stars: ✭ 517 (-92.03%)
Mutual labels:  jupyter-notebook
H2o 3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Stars: ✭ 5,656 (-12.82%)
Mutual labels:  jupyter-notebook
Transdim
Machine learning for transportation data imputation and prediction.
Stars: ✭ 515 (-92.06%)
Mutual labels:  jupyter-notebook
Tforce btc trader
TensorForce Bitcoin Trading Bot
Stars: ✭ 717 (-88.95%)
Mutual labels:  jupyter-notebook
Hyperparameter Optimization Of Machine Learning Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Stars: ✭ 516 (-92.05%)
Mutual labels:  jupyter-notebook
Amazon Sagemaker Examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Stars: ✭ 6,346 (-2.19%)
Mutual labels:  jupyter-notebook
Practical nlp in pytorch
A repository containing tutorials for practical NLP using PyTorch
Stars: ✭ 515 (-92.06%)
Mutual labels:  jupyter-notebook
Opencv Machine Learning
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
Stars: ✭ 693 (-89.32%)
Mutual labels:  jupyter-notebook
Dx
DX Analytics | Financial and Derivatives Analytics with Python
Stars: ✭ 512 (-92.11%)
Mutual labels:  jupyter-notebook
Sigma coding youtube
This is a collection of all the code that can be found on my YouTube channel Sigma Coding.
Stars: ✭ 611 (-90.58%)
Mutual labels:  jupyter-notebook
Bnn Pynq
Quantized Neural Networks (QNNs) on PYNQ
Stars: ✭ 510 (-92.14%)
Mutual labels:  jupyter-notebook
Swift
Swift for TensorFlow
Stars: ✭ 6,037 (-6.95%)
Mutual labels:  jupyter-notebook
Data science delivered
Observations from Ian on successfully delivering data science products
Stars: ✭ 510 (-92.14%)
Mutual labels:  jupyter-notebook
Instagram 3d Photo
A Chrome extension that adds a 3d photo effect to instagram pages.
Stars: ✭ 611 (-90.58%)
Mutual labels:  jupyter-notebook
Python Reference
Python Quick Reference
Stars: ✭ 509 (-92.15%)
Mutual labels:  jupyter-notebook
Featexp
Feature exploration for supervised learning
Stars: ✭ 688 (-89.4%)
Mutual labels:  jupyter-notebook
Show attend and tell.tensorflow
Stars: ✭ 508 (-92.17%)
Mutual labels:  jupyter-notebook
Info8010 Deep Learning
Lectures for INFO8010 - Deep Learning, ULiège
Stars: ✭ 608 (-90.63%)
Mutual labels:  jupyter-notebook
Labml
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
Stars: ✭ 508 (-92.17%)
Mutual labels:  jupyter-notebook
Gans
Generative Adversarial Networks implemented in PyTorch and Tensorflow
Stars: ✭ 714 (-89%)
Mutual labels:  jupyter-notebook
Julia Mit
Tutorials and information on the Julia language for MIT numerical-computation courses.
Stars: ✭ 505 (-92.22%)
Mutual labels:  jupyter-notebook
K Nearest Neighbors With Dynamic Time Warping
Python implementation of KNN and DTW classification algorithm
Stars: ✭ 604 (-90.69%)
Mutual labels:  jupyter-notebook
Robustness
A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
Stars: ✭ 506 (-92.2%)
Mutual labels:  jupyter-notebook
Ntu Machine Learning
台湾大学李宏毅老师机器学习
Stars: ✭ 684 (-89.46%)
Mutual labels:  jupyter-notebook
Generative Adversarial Networks
Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs
Stars: ✭ 505 (-92.22%)
Mutual labels:  jupyter-notebook
Tutorial
Stars: ✭ 602 (-90.72%)
Mutual labels:  jupyter-notebook
Edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Stars: ✭ 4,674 (-27.96%)
Mutual labels:  jupyter-notebook
Gans In Action
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Stars: ✭ 748 (-88.47%)
Mutual labels:  jupyter-notebook
Dbda Python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
Stars: ✭ 502 (-92.26%)
Mutual labels:  jupyter-notebook
Fastai dev
fast.ai early development experiments
Stars: ✭ 604 (-90.69%)
Mutual labels:  jupyter-notebook
Financedatareader
Financial data reader
Stars: ✭ 501 (-92.28%)
Mutual labels:  jupyter-notebook
Deeplearningmugenknock
でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet
Stars: ✭ 684 (-89.46%)
Mutual labels:  jupyter-notebook
Simpleitk Notebooks
Jupyter notebooks for learning how to use SimpleITK
Stars: ✭ 502 (-92.26%)
Mutual labels:  jupyter-notebook
Machine learning tutorials
Code, exercises and tutorials of my personal blog ! 📝
Stars: ✭ 601 (-90.74%)
Mutual labels:  jupyter-notebook
Kerasgan
A couple of simple GANs in Keras
Stars: ✭ 501 (-92.28%)
Mutual labels:  jupyter-notebook
Tensorflow Tutorials
Simple tutorials using Google's TensorFlow Framework
Stars: ✭ 5,912 (-8.88%)
Mutual labels:  jupyter-notebook
Data Science Portfolio
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Stars: ✭ 559 (-91.38%)
Mutual labels:  jupyter-notebook
Neural Processes
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
Stars: ✭ 744 (-88.53%)
Mutual labels:  jupyter-notebook
Ecco
Visualize and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2).
Stars: ✭ 723 (-88.86%)
Mutual labels:  jupyter-notebook
Fecon235
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
Stars: ✭ 708 (-89.09%)
Mutual labels:  jupyter-notebook
Food 101 Keras
Food Classification with Deep Learning in Keras / Tensorflow
Stars: ✭ 646 (-90.04%)
Mutual labels:  jupyter-notebook
Qs ledger
Quantified Self Personal Data Aggregator and Data Analysis
Stars: ✭ 559 (-91.38%)
Mutual labels:  jupyter-notebook
Gs Quant
Python toolkit for quantitative finance
Stars: ✭ 556 (-91.43%)
Mutual labels:  jupyter-notebook
Tensorflow 101
TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow
Stars: ✭ 642 (-90.1%)
Mutual labels:  jupyter-notebook
Log Progress
https://habr.com/ru/post/276725/
Stars: ✭ 556 (-91.43%)
Mutual labels:  jupyter-notebook
301-360 of 6012 similar projects