Salimzhan

Salimzhan's Stars

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python29.7k3738.4k9.5k

• donnemartin/data-science-ipython-notebooks

  Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  Language:Python27.5k1.6k417.9k

• jupyter/jupyter

  Jupyter metapackage for installation, docs and chat

  Language:Python14.9k6224064.1k

• NVIDIA/DeepLearningExamples

  State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

  Language:Jupyter Notebook13.6k2948463.2k

• vega/altair

  Declarative statistical visualization library for Python

  Language:Python9.4k1402k795

• vaexio/vaex

  Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

  Language:Python8.3k1441.2k591

• catboost/catboost

  A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

  Language:Python8.1k1912.3k1.2k

• cortexlabs/cortex

  Production infrastructure for machine learning at scale

  Language:Go8k1451.1k607

• open-mmlab/mmcv

  OpenMMLab Computer Vision Foundation

  Language:Python5.9k841.2k1.7k

• has2k1/plotnine

  A Grammar of Graphics for Python

  Language:Python4.1k64681216

• esokolov/ml-course-hse

  Машинное обучение на ФКН ВШЭ

  Language:Jupyter Notebook3k145981.1k

• jdwittenauer/ipython-notebooks

  A collection of IPython notebooks covering various topics.

  Language:Jupyter Notebook2.6k169151.5k

• demidovakatya/vvedenie-mashinnoe-obuchenie

  :memo: Подборка ресурсов по машинному обучению

  1.4k18313326

• stephencwelch/Neural-Networks-Demystified

  Supporting code for short YouTube series Neural Networks Demystified.

  Language:Jupyter Notebook1.3k6923571

• esokolov/ml-course-msu

  Lecture notes and code for Machine Learning practical course on CMC MSU

  Language:Jupyter Notebook8731262316

• thomas-haslwanter/statsintro_python

  Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

  Language:HTML865714572

• pdpipe/pdpipe

  Easy pipelines for pandas DataFrames.

  Language:Jupyter Notebook716185345

• googleads/googleads-python-lib

  The Python client library for Google's Ads APIs

  Language:Python68584486975

• Jcharis/Machine-Learning-Web-Apps

  Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)

  Language:Jupyter Notebook568254570

• Dyakonov/DL

  Курс "Глубокое обучение (Deep Learning)" (ВМК, МГУ имени М.В. Ломоносова)

  46226163

• zyfra/ebonite

  machine learning lifecycle framework

  Language:Python1997410

• kdubovikov/tf-vs-pytorch

  A companion code for my Medium post

  Language:Jupyter Notebook1234162

• Dyakonov/IML

  Курс "Введение в машинное обучение" (ВМК, МГУ имени М.В. Ломоносова)

  7017124

• Dyakonov/MLDM

  потоковый курс "Машинное обучение и анализ данных (Machine Learning and Data Mining)" на факультете ВМК МГУ имени М.В. Ломоносова

  6315017

• datenhahn/imgcompare

  compares two images for equality or a difference percentage

  Language:Python604310

• iYung/sklearn-flask-example

  Language:Python434334

• jdglaser/fast-to-sql

  An improved method for uploading pandas dataframes to SQL server

  Language:Python335187

• Dyakonov/sascompetitions

  Описание алгоритмов для соревнования https://sascompetitions.ru/

  Language:Jupyter Notebook265118

• VasiliyRubtsov/Tinkoff

  Language:Jupyter Notebook146

• adilkhash/luigi-course-materials

  Материалы для курса Введение в Data Engineering: дата пайплайны

  Language:Python12405