Lists (2)
Stars
A curated list of awesome streaming video tools, frameworks, libraries, and learning resources.
olegtarasov / CLAP
Forked from adrianaisemberg/CLAPCLAP: A Kick-Ass .NET Command-Line Parser
Python examples on how to use GStreamer within OpenCV. Now with GPU support! 🔥🔥🔥
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
Code for the Kaggle Ensembling Guide Article on MLWave
scikit-learn cross validators for iterative stratification of multilabel data
Материалы по курсу анализу данных
An example of using a discriminator to correct for a difference in the distributions between the training and test data.
⬛ Python Individual Conditional Expectation Plot Toolbox
python partial dependence plot toolbox
ReSharper plugin to measure cyclomatic complexity as you type
A Tiny, Pure Python implementation of Gradient Boosted Trees.
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
.NET is a cross-platform runtime for cloud, mobile, desktop, and IoT apps.
Image-to-Image Translation in PyTorch
A resource for learning about Machine learning & Deep Learning
Learning Convolutional Neural Networks with Interactive Visualization.
My solutions to assignments of Data structures and algorithms (by UCSD and HSE) on Coursera. All problems from Course 1 to Course 5 have been solved.
A machine learning trigger bot for Quake3 Arena & Quake Live.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Conv2d and MaxPool2d Calculator for PyTorch
Corrected examples from Николенко С., Кадурин А., Архангельская Е. Глубокое обучение
Contains Company Wise Questions sorted based on Frequency and all time
Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.
shiftkey / desktop
Forked from desktop/desktopFork of GitHub Desktop to support various Linux distributions
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.