ALEXKIRNAS

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Ring Ukraine

Ukraine, Kyiv

Alexander Zarichkovyi's starred repositories

models

Models and examples built with TensorFlow

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Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Language:PythonApache-2.026232 940 925

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Language:Jupyter NotebookNOASSERTION21860 1482 122

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Language:PythonNOASSERTION14107 335 2238

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

Language:ShellApache-2.08415 528 1311

PhysicsJS

A modular, extendable, and easy-to-use physics engine for javascript

Language:JavaScriptMIT3594 1740

perfplot

:chart_with_upwards_trend: Performance analysis for Python snippets

Language:PythonGPL-3.01332 18 44

channel-pruning

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

Language:PythonMIT1072 47 125

Fast-Pandas

Benchmark for different operations in pandas against various dataframe sizes.

Language:Python966 36 5

CondenseNet

CondenseNet: Light weighted CNN for mobile devices

Language:PythonMIT694 24 39

labnotebook

LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.

Language:Jupyter NotebookMIT534 19 12

xgbfir

XGBoost Feature Interactions Reshaped

Language:PythonMIT423 27 10

nima.pytorch

NIMA: Neural IMage Assessment

Language:PythonMIT327 11 22

Keras-NASNet

"NASNet" models in Keras 2.0+ with weights

Language:PythonMIT200 20 21

open-solution-toxic-comments

Open solution to the Toxic Comment Classification Challenge

Language:PythonMIT154 13 14

keras-mtcnn

mtcnn face detection transplanted to keras

Language:PythonMIT124 13 12

SimpleNet

This repository contains the architectures, Models, logs, etc pertaining to the SimpleNet Paper (Lets keep it simple: Using simple architectures to outperform deeper architectures )

Language:PythonMIT90 8 2

pretrained-models.pytorch

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

Language:PythonBSD-3-Clause77 30

olymp-docs

:books: Programming competitions docs

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condensenet-tensorflow

tensorflow implementation of CondenseNet: An Efficient DenseNet using Learned Group Convolutions

Language:Python29 4 5

KPI-Semester-3

All KPI labs for 3rd semester

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