7166 Open source projects that are alternatives of or similar to Advisor

Deep Learning with PyTorch Quick Start Guide, published by Packt

AIND Term 2 -- VUI Capstone Project

collaborative audio module for fast.ai

Exploring applications of deep learning to the world of wine

使用 tensorflow eager execution 的机器学习全新教程

机器学习与深度学习算法示例

Convolutional Neural Network based regression approach for estimating machinery's remaining useful life

Machine learning and process automation

Unofficial implementation of Octave Convolutions (OctConv) in TensorFlow / Keras.

公众号“无痛入门音乐科技”开源代码

Graph Convolutional Networks (GCN) with BERT for Coreference Resolution Task [Pytorch][DGL]

Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is an exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Models that explain the returns of individual stocks generally use company and stock characteristics, e.g., the market prices of financial instruments and companies’ accounting data. These characteristics can also be used to predict expected stock returns out-of-sample. Most studies use simple linear models to form these predictions [1] or [2]. An increasing body of academic literature documents that more sophisticated tools from the Machine Learning (ML) and Deep Learning (DL) repertoire, which allow for nonlinear predictor interactions, can improve the stock return forecasts [3], [4] or [5]. The main goal of this project is to investigate whether modern DL techniques can be utilized to more efficiently predict the movements of the stock market. Specifically, we train a LSTM neural network with time series price-volume data and compare its out-of-sample return predictability with the performance of a simple logistic regression (our baseline model).

Torch notebooks and slides for the Bay Area Deep Learning Summer School

Models and Pipelines for the Spark NLP library

bash script to install Artifical Images materials

GitHub Action for repo2docker

Created the contents of this repo originally for a workshop I gave at UCLA

JavaScript Algorithm Visualization library

Notebooks para comenzar desde cero en data science (en español)

Faster-RCNN based on Densecap(deprecated)

Pytorch Implementation of Interaction Networks for Learning about Objects, Relations and Physics

Game Theory and Python, a workshop investigating repeated games using the prisoner's dilemma

个人学习知识库涉及到数据仓库建模、实时计算、大数据、Java、算法等。

Code for my EMNLP 2018 paper "SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach"

American Gut open-access data and IPython notebooks

Código para el curso "Aprende Data Science y Machine Learning con Python"

Code and examples from Business Data Science

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Jupyter notebooks with exercises for the No bullshit guide to linear algebra.

[BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis, kNN regression for demand forecasting, and find dynamic optimal price with Optimization model.

The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.

An LSTM Autoencoder for rare event classification

NJU Master Course **Big Data Mining and Analysis**

COVID-19 Vulnerability Index

Tutorials on optimization and coding skills

CSS Optimizer(csso) ruby wrapper for Rails Asset pipeline

Code release for Hu et al. Segmentation from Natural Language Expressions. in ECCV, 2016

C conditionals directive for JavaScript

A community run, 5-day PyTorch Deep Learning Bootcamp

Predictive Maintenance using Pyspark

Videos of deep learning optimizers moving on 3D problem-landscapes

Sample sample scripts and notebooks on processing satellite imagery

Finding similar images in the Holidays dataset

Book sample (AI Machine-learning Deep-learning)

A documentation browser with support for DevDocs, Dash and Hoogle, written in Haskell and QML

机器学习实战

书籍：深度学习框架pytorch入门与实践

Awesome Resources for Advanced Computer Vision Topics

People removal in images using Pix2Pix and YOLO.

A Quantum 爻 System Implementation for Divination

Source code to reproduce experiments from the article Practitioner’s Guide to Statistical Tests

Functional programming inspired by ML for the Erlang VM