safura-s

safura-s's Stars

• vahidk/EffectivePyTorch

  PyTorch tutorials and best practices.

  1.7k165

• StevenLiuWen/ano_pred_cvpr2018

  Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018

  Language:Python436126

• HuaizhengZhang/Awsome-Deep-Learning-for-Video-Analysis

  Papers, code and datasets about deep learning and multi-modal learning for video analysis

  761171

• anhquan0412/basic_model_scratch

  Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library

  Language:Jupyter Notebook595167

• MaxHalford/prince

  :crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA

  Language:Python1.3k184

• mauhai/awesome-jupyterlab

  A curated list of awesome JupyterLab extensions and resources

  2.5k152

• IBMDataScience/SparkSummitDemo

  PySpark Notebook and Shiny App for Demo

  Language:Jupyter Notebook3540

• IBMDataScience/dsx-tutorials

  A collection of tutorials, demos, and use cases for IBM Data Science Experience http://datascience.ibm.com/

  Language:Jupyter Notebook1414

• IBMDataScience/sample-notebooks

  Sample notebooks that are published by IBM for IBM Data Science Experience.

  Language:HTML5972

• adam-p/markdown-here

  Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

  Language:JavaScript59.6k11.3k

• aws/amazon-sagemaker-examples

  Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

  Language:Jupyter Notebook10.1k6.8k

• AkashPatel1/Speech_Predict

  Language:Python41

• jtoy/awesome-tensorflow

  TensorFlow - A curated list of dedicated resources http://tensorflow.org

  17.2k3k

• josephmisiti/awesome-machine-learning

  A curated list of awesome Machine Learning frameworks, libraries and software.

  Language:Python65.8k14.6k

• Theano/Theano

  Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor

  Language:Python9.9k2.5k

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python59.9k25.4k

• scikit-learn-contrib/lightning

  Large-scale linear classification, regression and ranking in Python

  Language:Python1.7k214

• umutisik/Eigentechno

  Principal Component Analysis on music loops

  Language:Jupyter Notebook76045

• keon/awesome-nlp

  :book: A curated list of resources dedicated to Natural Language Processing (NLP)

  16.7k2.6k

• openai/gym

  A toolkit for developing and comparing reinforcement learning algorithms.

  Language:Python34.7k8.6k

• beamandrew/medical-data

  5.8k1.1k

• fivethirtyeight/data

  Data and code behind the articles and graphics at FiveThirtyEight

  Language:Jupyter Notebook16.8k10.9k