hattajr

hattajr's Stars

• SeldonIO/alibi-detect

  Algorithms for outlier, adversarial and drift detection

  Language:Jupyter Notebook2.2k225

• jsyoon0823/TimeGAN

  Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019

  Language:Jupyter Notebook862273

• DanilBaibak/ml-in-production

  The practical use-cases of how to make your Machine Learning Pipelines robust and reliable using Apache Airflow.

  Language:Python5222

• arundo/adtk

  A Python toolkit for rule-based/unsupervised anomaly detection in time series

  Language:Python1.1k147

• matplotlib/cheatsheets

  Official Matplotlib cheat sheets

  Language:Python7.4k891

• careercup/CtCI-6th-Edition-Python

  Cracking the Coding Interview 6th Ed. Python Solutions

  Language:Python5k1.8k

• timeseriesAI/tsai

  Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

  Language:Jupyter Notebook5.3k657

• GoogleContainerTools/container-structure-test

  validate the structure of your container images

  Language:Go2.3k200

• hadolint/hadolint

  Dockerfile linter, validate inline bash, written in Haskell

  Language:Haskell10.5k425

• POSTECH-CVLab/PyTorch-StudioGAN

  StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

  Language:Python3.4k344

• Janspiry/Image-Super-Resolution-via-Iterative-Refinement

  Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

  Language:Python3.6k469

• uchidalab/time_series_augmentation

  An example of time series augmentation methods with Keras

  Language:Jupyter Notebook33669

• lmcinnes/umap

  Uniform Manifold Approximation and Projection

  Language:Python7.5k808

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python194k45.7k

• graviraja/MLOps-Basics

  Language:Jupyter Notebook6.1k1k

• ageron/handson-ml2

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook28k12.8k

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python50.9k16.4k

• hfawaz/InceptionTime

  InceptionTime: Finding AlexNet for Time Series Classification

  Language:Python644148

• alexhegit/handson-ml2

  https://github.com/ageron/handson-ml2

  Language:Jupyter Notebook23985

• cerlymarco/MEDIUM_NoteBook

  Repository containing notebooks of my posts on Medium

  Language:Jupyter Notebook2.1k975

• sintel-dev/Orion

  Library for detecting anomalies in signals

  Language:Python1k162

• kelvins/awesome-mlops

  :sunglasses: A curated list of awesome MLOps tools

  Language:Python4.1k569

• chiphuyen/ml-interviews-book

  https://huyenchip.com/ml-interviews-book/

  Language:HTML3.4k523

• awslabs/gluonts

  Probabilistic time series modeling in Python

  Language:Python4.6k755

• jakevdp/PythonDataScienceHandbook

  Python Data Science Handbook: full text in Jupyter Notebooks

  Language:Jupyter Notebook43.2k17.9k