ImodelsInterpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Stars: ✭ 194 (-36.6%)
ImageprocessingMicaSense RedEdge and Altum image processing tutorials
Stars: ✭ 139 (-54.58%)
Anomaly detection tutoAnomaly detection tutorial on univariate time series with an auto-encoder
Stars: ✭ 144 (-52.94%)
Deeptoxictop 1% solution to toxic comment classification challenge on Kaggle.
Stars: ✭ 180 (-41.18%)
Kitti tutorialTutorial for using Kitti dataset easily
Stars: ✭ 235 (-23.2%)
Dl For ChatbotDeep Learning / NLP tutorial for Chatbot Developers
Stars: ✭ 221 (-27.78%)
Scikit Learn VideosJupyter notebooks from the scikit-learn video series
Stars: ✭ 3,254 (+963.4%)
Nb2xlsConvert Jupyter notebook to Excel spreadsheet
Stars: ✭ 129 (-57.84%)
DeeplearningfornlpinpytorchAn IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
Stars: ✭ 1,744 (+469.93%)
Digital video introductionA hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).
Stars: ✭ 12,184 (+3881.7%)
Elmo TutorialA short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)
Stars: ✭ 145 (-52.61%)
LearnpythonforresearchThis repository provides everything you need to get started with Python for (social science) research.
Stars: ✭ 163 (-46.73%)
Shape Detection🟣 Object detection of abstract shapes with neural networks
Stars: ✭ 170 (-44.44%)
Juniper🍇 Edit and execute code snippets in the browser using Jupyter kernels
Stars: ✭ 189 (-38.24%)
TensorflowDeep Learning Zero to All - Tensorflow
Stars: ✭ 216 (-29.41%)
How To Read PytorchQuick, visual, principled introduction to pytorch code through five colab notebooks.
Stars: ✭ 218 (-28.76%)
DatavisualizationTutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
Stars: ✭ 234 (-23.53%)
TutorialTutorial covering Open Source tools for Source Separation.
Stars: ✭ 223 (-27.12%)
Pytorch Image ClassificationTutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Stars: ✭ 272 (-11.11%)
Generative models tutorial with demoGenerative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
Stars: ✭ 276 (-9.8%)
IpycytoscapeA Cytoscape Jupyter widget
Stars: ✭ 128 (-58.17%)
RUsing R with Jupyter / RStudio on Binder
Stars: ✭ 136 (-55.56%)
Python AudioSome Jupyter notebooks about audio signal processing with Python
Stars: ✭ 125 (-59.15%)
Scipy con 2019Tutorial Sessions for SciPy Con 2019
Stars: ✭ 142 (-53.59%)
Google2csvGoogle2Csv a simple google scraper that saves the results on a csv/xlsx/jsonl file
Stars: ✭ 145 (-52.61%)
Helm ChartA store of Helm chart tarballs for deploying JupyterHub and BinderHub on a Kubernetes cluster
Stars: ✭ 123 (-59.8%)
Gasyori100knockimage processing codes to understand algorithm
Stars: ✭ 1,988 (+549.67%)
Psi4numpyCombining Psi4 and Numpy for education and development.
Stars: ✭ 170 (-44.44%)
BinderhubRun your code in the cloud, with technology so advanced, it feels like magic!
Stars: ✭ 2,050 (+569.93%)
Trump LiesTutorial: Web scraping in Python with Beautiful Soup
Stars: ✭ 201 (-34.31%)
Learn jupyterThis is a jupyter practical tutorial. Welcome to edit together!
Stars: ✭ 123 (-59.8%)
TutorialsAI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Stars: ✭ 204 (-33.33%)
Sc17SuperComputing 2017 Deep Learning Tutorial
Stars: ✭ 211 (-31.05%)
50 Days Of MlA day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects
Stars: ✭ 218 (-28.76%)
Neural Network From ScratchEver wondered how to code your Neural Network using NumPy, with no frameworks involved?
Stars: ✭ 230 (-24.84%)
Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
Stars: ✭ 3,209 (+948.69%)
Rl Tutorial Jnrr19Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
Stars: ✭ 204 (-33.33%)
Understanding NnTensorflow tutorial for various Deep Neural Network visualization techniques
Stars: ✭ 261 (-14.71%)
Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Stars: ✭ 3,418 (+1016.99%)
Dl tutorialTutorials for deep learning
Stars: ✭ 247 (-19.28%)
Qiskit TutorialsA collection of Jupyter notebooks showing how to use the Qiskit SDK
Stars: ✭ 1,777 (+480.72%)
Pandas VideosJupyter notebook and datasets from the pandas Q&A video series
Stars: ✭ 1,716 (+460.78%)
Ten Rules JupyterTen Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks
Stars: ✭ 204 (-33.33%)
DeeplearningcoursecodesNotes, Codes, and Tutorials for the Deep Learning Course <which I taught at ChinaHadoop>
Stars: ✭ 241 (-21.24%)