5921 Open source projects that are alternatives of or similar to Hydrodl

Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone, by estimating a joint probability distribution over the variables for each timeframe. The filter is named after Rudolf E. Kálmán, one of the primary developers of its theory.

Курс по Python по работе с VK API

NYU Math-GA 2048: Scientific Computing in Finance

🍧 A repository that contains courses I have taken on DataCamp

Converts a Shapefile, GeoJSON, or CSV to an equal area cartogram

https://github.com/ageron/handson-ml2

Code and notebooks for Econometric Theory

TensorRT and TensorFlow demo/example (python, jupyter notebook)

支付宝红包/淘宝领喵币/雪球红包/苏宁易购/京东/淘宝自动签到 领取金币

A recommendation system using tensorflow

environment setup for strata conference 2018

Python Productivity for ZYNQ

Measurement and processing of binaural impulse responses for personalized surround virtualization on headphones.

Stock Market Analysis with RNN and Time Series

這是政治大學應用數學系《數學軟體應用》課程的上課筆記。主要介紹 Python 程式語言, 目標是用 Python 做數據分析。

An implementation of NSGA-III in Python.

A python package for visualization and analysis of high-throughput flow cytometry data

Tensorflow for Time Series Applications

A containerised platform for Geographic Data Science

Predictive Analytics with TensorFlow, published by Packt

Chisel Learning Journey

Demonstration of MapR for Industrial IoT

PyCon 2017 tutorial on time series analysis

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

A guide for binary class sentiment analysis of tweets.

『機械学習のための特徴量エンジニアリング』のサンプルコード集

Code to accompany my upcoming book "Deep learning with PyTorch Book " from Packt

Implementation of CVPR 2016 paper

Pytorch code for BMVC 2018 paper

Solved problems and assignments of DSA course taught by Coding Ninjas team

Source Code for 'Machine Learning with PySpark' by Pramod Singh

Data and code for BuzzFeed's bikeshare gender maps.

Python Tutorials

🎓 Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify

Presentations for JuliaCon

Scripts/notebooks for The Nature Conservancy's fish classification competition

INFO 490: Advanced Data Science, offered in the Spring 2016 Semester at the University of Illinois

Teaching materials in python at the @ENSAE

SQL Server 2019 Workshop

This Repository contains all tensorflow tutorials.

intro to machine learning - reverse engineering phenomena

Invert a pre-trained GAN model (includes code for training a GAN on celebA)

ETL with Python - Taught at DWH course 2017 (TAU)

使用mxnet编写的kaggle CIFAR10比赛的代码

Tribe extracts a network from an email mbox and writes it to a graphml file for visualization and analysis.

Learning Heuristics for the TSP by Policy Gradient

Bayesian Machine Learning, https://us.pycon.org/2017/schedule/presentation/232/

Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.

Disease Prediction based on Symptoms.

bert-bilstm-crf implemented in pytorch for named entity recognition.

Short lessons from FAS Informatics coffee hour

A deep Q learning demonstration using Google Tensorflow

Model submitted for the ICMI 2018 EmotiW Group-Level Emotion Recognition Challenge

An end-to-end walkthrough of the winning submission by grt123 for the Kaggle Data Science Bowl 2017