readcy

readcy's Stars

• gxd1994/TextBoxes-TensorFlow

  TextBoxes re-implement using tensorflow

  Language:Python4349

• milsto/robust-kalman

  Robust Kalman filter with adaptive noise statistics estimation.

  Language:Python12850

• NveCorporation/Sensor-Lookup-Tables

  This Arduino sketch uses a look-up table to correct for the inherent nonlinearity of magnetic field versus distance and drives a linear actuator.

  Language:C++1

• alexhagiopol/arduino-UAV-software

  Piloting firmware and Kalman Filter localization software for Arduino quadrotors.

  Language:C++3022

• ivanseidel/ArduinoThread

  ⏳ A simple way to run Threads on Arduino

  Language:C++952195

• allenai/allennlp-as-a-library-example

  A simple example for how to build your own model using AllenNLP as a dependency.

  Language:Python11351

• allenai/allennlp

  An open-source NLP research library, built on PyTorch.

  Language:Python11.7k2.2k

• wurmen/DEA

  Data Envelopment Analysis 資料包絡分析

  Language:Jupyter Notebook9745

• JavierAntoran/Bayesian-Neural-Networks

  Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

  Language:Jupyter Notebook1.8k305

• Seb-Good/deepecg

  A library for classifying single-lead ECG waveforms as either Normal Sinus Rhythm, Atrial Fibrillation, or Other Rhythm.

  Language:Python7425

• harveyslash/Facial-Similarity-with-Siamese-Networks-in-Pytorch

  Implementing Siamese networks with a contrastive loss for similarity learning

  Language:Jupyter Notebook973274

• dragen1860/MAML-Pytorch

  Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

  Language:Python2.3k420

• dragen1860/awesome-meta-learning

  A curated list of Meta-Learning resources/papers.

  554100

• floodsung/Deep-Learning-Papers-Reading-Roadmap

  Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

  Language:Python38k7.3k

• rlabbe/filterpy

  Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

  Language:Python3.3k617

• MengtingWan/goodreads

  code samples for the goodreads datasets

  Language:Jupyter Notebook24258

• dawenl/vae_cf

  Variational autoencoders for collaborative filtering

  Language:Jupyter Notebook529157

• DonaldDai/Bokeh-CN

  Bokeh中文文档（翻译暂停）

  Language:Jupyter Notebook30757

• buko106/MovieLens100kWithLibFM

  Language:Python1

• iaperez/DataMiningProject-WhoMadeThatMovie

  Data Mining project using IMDB, Movilens and Wikipedia datasets

  Language:Python711

• hexiangnan/adversarial_personalized_ranking

  Adversarial Learning, Matrix Factorization, Recommendation

  Language:Python21562

• apachecn/fe4ml-zh

  :book: [译] 面向机器学习的特征工程

  Language:JavaScript2.5k676

• theSage21/lorentz-embeddings

  Embed arbitrary graphs in Hyperbolic space

  Language:Python7216

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook16.5k4.2k

• adbuerger/casiopeia

  Casadi Interface for Optimum experimental design and Parameter Estimation and Identification Applications

  Language:Python346

• geoopt/geoopt

  Riemannian Adaptive Optimization Methods with pytorch optim

  Language:Python83977

• TomAugspurger/dask-tutorial-pycon-2018

  Language:Jupyter Notebook135104

• dask/dask

  Parallel computing with task scheduling

  Language:Python12.5k1.7k

• haowei01/pytorch-examples

  train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc

  Language:Python17418

• maciejkula/spotlight

  Deep recommender models using PyTorch.

  Language:Python3k423