6259 Open source projects that are alternatives of or similar to Sttn

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

Real Time Big Data / IoT Machine Learning (Model Training and Inference) with HiveMQ (MQTT), TensorFlow IO and Apache Kafka - no additional data store like S3, HDFS or Spark required

The BlazeFace face detector model implemented in PyTorch

Dense Depth for Autonomous Driving (DDAD) dataset.

Simplified implementations of deep learning related works

These are my learning exercices from Coursera

🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

A python tutorial on bayesian modeling techniques (PyMC3)

中国象棋alpha zero程序

机器学习、深度学习的学习路径及知识总结

Paper: CVPR2018, Learning Rich Features for Image Manipulation Detection

Virtual Clothing Try-on with Deep Learning. PyTorch reproduction of SwapNet by Raj et al. 2018. Now with Docker support!

《Machine Learning: A Probabilistic Perspective》（Kevin P. Murphy）中文翻译和书中算法的Python实现。

A Python package for exploring and analysing genetic variation data

Simple plotting library that wraps Matplotlib and integrated with DataFrames

Materials for an online-course - "Practical XGBoost in Python"

[ACL 2020] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

CS198-96: Intro to Neurotechnology @ UC Berkeley

Deep Reinforcement Learning for de-novo Drug Design

Learn OpenCV : C++ and Python Examples

A collection of deep learning frameworks ported to Keras for face analysis.

This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube

公众号：早起Python

A Deep Learning based project for colorizing and restoring old images (and video!)

pandas中文教程

CARTO Python package for data scientists

Open source ultrasound processing modules and building blocks

Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832

Urban Informatics and Visualization (UC Berkeley CP255)

A fast and lightweight AutoML library.

Pytorch version of Realtime Multi-Person Pose Estimation project

Materials for PyCon 2017 presentation on optimizing Pandas code

Tutorial: Web scraping in Python with Beautiful Soup

Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Implemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.

How to do Unsupervised Clustering with Keras

A fast, extensible, transparent python library for backtesting quantitative strategies.

Russian language models for spaCy

Tools, wrappers, etc... for data science with a concentration on text processing

code for reading and processing Allen Institute for Brain Science data

A clear, concise, simple yet powerful and efficient API for deep learning.

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

Apache Spark (PySpark) Practice on Real Data

OpenCV in Python for lane line and vehicle detection/tracking in autonomous cars

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

Ropsten public testnet PoW chain

Build a CNN network to predict 3D bounding box of car from 2D image.

Some code examples gathered during my Month of Julia.

Oriented Response Networks, in CVPR 2017

Chainer implementation of "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"

w-net: a convolutional neural network architecture for the self-supervised learning of depthmap from pairs of stereo images.

🎄 Virtual DOM for Python

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".