olegperegudov

olegperegudov's Stars

• fengsp/color-thief-py

  Grabs the dominant color or a representative color palette from an image. Uses Python and Pillow.

  Language:Python1.1k125

• erdewit/nest_asyncio

  Patch asyncio to allow nested event loops

  Language:Python71580

• ibragim-bad/machine-learning-design-primer

  Learn how to design and implement effective Machine Learning systems from start to finish.

  22020

• coqui-ai/TTS

  🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

  Language:Python36.6k4.5k

• Unstructured-IO/unstructured

  Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

  Language:HTML9.7k811

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook97.6k15.8k

• Mad-Mods-Phoenix-Point/AssortedAdjustments

  [Phoenix Point Mod][Modnix] Various little tweaks to adjust the game to your liking.

  Language:C#113

• fbaptiste/python-deepdive

  Python Deep Dive Course - Accompanying Materials

  Language:Jupyter Notebook1.5k1.2k

• Eivonz/Pyfa-Mod

  Pyfa Modification (Darkmode theme)

  Language:C++131

• luozhouyang/python-string-similarity

  A library implementing different string similarity and distance measures using Python.

  Language:Python998127

• tqdm/tqdm

  :zap: A Fast, Extensible Progress Bar for Python and CLI

  Language:Python29k1.4k

• Ankit-Kumar-Saini/Coursera_Deep_Learning_Specialization

  Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.

  Language:Jupyter Notebook9361

• amanchadha/coursera-deep-learning-specialization

  Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

  Language:Jupyter Notebook3.3k2.3k

• minlexx/whdbx_web

  EVE Online Wormhole database website

  Language:Python2711

• microsoft/LightGBM

  A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

  Language:C++16.9k3.8k

• catboost/tutorials

  CatBoost tutorials repository

  Language:Jupyter Notebook1k413

• gurugaurav/bing_image_downloader

  Python library to download bulk of images from Bing.com

  Language:Python206105

• yosinski/deep-visualization-toolbox

  DeepVis Toolbox

  Language:Python4k928

• fastai/fastbook

  The fastai book, published as Jupyter Notebooks

  Language:Jupyter Notebook22.3k8.6k

• egonSchiele/grokking_algorithms

  Code for the book Grokking Algorithms (https://www.amazon.com/dp/1633438538)

  Language:JavaScript11.9k3.8k

• WillKoehrsen/hyperparameter-optimization

  Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

  Language:Jupyter Notebook623324

• eriklindernoren/ML-From-Scratch

  Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

  Language:Python24.1k4.6k

• jmportilla/Python-for-Algorithms--Data-Structures--and-Interviews

  Files for Udemy Course on Algorithms and Data Structures

  Language:Jupyter Notebook2.6k2.4k

• demidovakatya/mashinnoye-obucheniye

  :books: Специализация «Машинное обучение и анализ данных»

  Language:Jupyter Notebook310232

• justmarkham/scikit-learn-videos

  Jupyter notebooks from the scikit-learn video series

  Language:Jupyter Notebook3.7k2.5k

• WillKoehrsen/feature-selector

  Feature selector is a tool for dimensionality reduction of machine learning datasets

  Language:Jupyter Notebook2.2k770

• esokolov/ml-course-hse

  Машинное обучение на ФКН ВШЭ

  Language:Jupyter Notebook3.1k1.1k

• iamseancheney/pythonbooks

  28187

• tesseract-ocr/tesseract

  Tesseract Open Source OCR Engine (main repository)

  Language:C++63.6k9.6k

• Belval/TextRecognitionDataGenerator

  A synthetic data generator for text recognition

  Language:Python3.4k989