EAKusakina

EAKusakina's Stars

• Devinterview-io/logistic-regression-interview-questions

  🟣 Logistic Regression interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.

  105

• epishchik/ML-Interview

  Вопросы с собеседований на позицию Machine Learning Engineer

  4

• Filareth2015/DA_and_ML_Python

  Language:Jupyter Notebook3242

• MathCatsAnd/Streamlit-Mechanics-Examples

  A repository to store all my Streamlit code snippets used to demonstrate the mechanics of Streamlit

  Language:Python1719

• frkn-dev/FRKN

  FRKN: freedom of speech and information

  Language:Shell66064

• guipsamora/pandas_exercises

  Practice your pandas skills!

  Language:Jupyter Notebook10.9k8.3k

• sicxu/Deep3DFaceRecon_pytorch

  Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019). A PyTorch implementation.

  Language:Python1.7k312

• DataTalksClub/machine-learning-zoomcamp

  Learn ML engineering for free in 4 months!

  Language:Jupyter Notebook9.6k2.3k

• a-milenkin/testovoe

  Home assignments for data science positions

  489

• Gymnastik/Based_on_Grokking_algorithms

  Разбираем книгу "Грокаем алгоритмы" и еще много всего дополнительно.

  Language:Jupyter Notebook12

• FUlyankin/matstat_lec

  Лекции по матстату на русском

  Language:TeX368

• FUlyankin/yet_another_matstat_course

  Yet another matstat course (ru)

  Language:Jupyter Notebook5916

• lnfin/neurowood

  Classification wood cuts

  Language:Python51

• sweetlhare/neuro-wood

  Решение хакатона от ВШЭ и стартапа NeuroWood

  Language:Jupyter Notebook41

• hse-ds/iad-deep-learning

  Курс "Основы глубинного обучения" на майноре ИАД

  Language:Jupyter Notebook209115

• LadaChernenko/bird_species_guide

  Telegran bot for classification bird species by image

  Language:Jupyter Notebook17

• bentrevett/pytorch-sentiment-analysis

  Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

  Language:Jupyter Notebook4.4k1.2k

• rougier/numpy-100

  100 numpy exercises (with solutions)

  Language:Python12.2k5.8k

• ajcr/100-pandas-puzzles

  100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

  Language:Jupyter Notebook2.6k3k

• nktnlx/data_analysis_course

  Tasks and projects solved while passing a Data Analysis course: Python, Pandas, Numpy, Seaborn, Google APIs, Git, Airflow, SQL, ClickHouse, PostgreSQL, Redash, Supersеt, Statistics, A/B-tests, Bootstrapping, Amplitude, Tableau, DAU, MAU, ARPU, LTV, Retention and other metrics.

  Language:Jupyter Notebook3311

• junyanz/pytorch-CycleGAN-and-pix2pix

  Image-to-Image Translation in PyTorch

  Language:Python23.1k6.3k

• floydhub/save-and-resume

  Checkpoint tutorial on FloydHub for Pytorch, Keras and Tensorflow.

  Language:Jupyter Notebook3615

• aaron-xichen/pytorch-playground

  Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

  Language:Python2.6k612

• Cadene/pretrained-models.pytorch

  Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

  Language:Python9k1.8k

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.5k4.1k

• BVLC/caffe

  Caffe: a fast open framework for deep learning.

  Language:C++34.1k18.7k

• WillKoehrsen/machine-learning-project-walkthrough

  An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!

  Language:Jupyter Notebook1.1k560

• torch/torch7

  http://torch.ch

  Language:C9k2.4k

• EugeneZabrotsky/data_like

  Language:Jupyter Notebook248

• fartuk/ml_investment

  Investment tools

  Language:Python15234