6175 Open source projects that are alternatives of or similar to Auto Reid And Others

Solving NLP problems with Vowpal Wabbit: Tutorial and more

18.330 Introduction to Numerical Analysis

Run any standard Python code quality tool on a Jupyter Notebook

借助Python抓取微博数据，并对抓取的数据进行情绪分析

書籍「つくりながら学ぶ！深層強化学習」のサポートリポジトリです

1st Solution for 2019-CIKM-Analyticup, Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation

MAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.

Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)

Tensorflow's Fairness Evaluation and Visualization Toolkit

Video-friendly caffe -- comes with the most recent version of Caffe (as of Jan 2019), a video reader, 3D(ND) pooling layer, and an example training script for C3D network and UCF-101 data

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

CME211 Notes | Outline ->

an numpy-based implement of PointRend

Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).

TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data

TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network

A very lightweight Python wrapper to the Philips Hue API

A day to day plan for this challenge. Covers both theoritical and practical aspects

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

A drop-in replacement for CIFAR-10.

Machine Learning Tutorials in Python

Functionalities in Excel translated to Python

统计学习方法训练营课程作业及答案，视频笔记在线阅读地址：https://relph1119.github.io/statistical-learning-method-camp

This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.

中文文本错别字检测以及自动纠错 / Autochecker & autocorrecter for chinese

Files for my scikit-learn tutorial at PyCon 2013

High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.

Material for the pandas tutorial at EuroScipy 2016

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

A Multipurpose Library for Synthetic Time Series Generation in Python

My personal notes, presentations, and notebooks on everything Deep Learning.

Deep learning infrastructure for bioinformatics

quantitative security portfolio analysis. The analysis pipeline including data storage abstraction, alpha calculation, ML based alpha combining and portfolio calculation.

just some code snippet

Machine Learning Algorithms implementations

Material for the tutorial: "Deep Diving into GANs: from theory to production"

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow

Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone

Python is a multi-paradigm programming language. Meaning, it supports different programming approach. One of the popular approach to solve a programming problem is by creating objects. This is known as Object-Oriented Programming (OOP).

Deep Keyphrase Extraction using BERT

A TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

This Jupyter Notebook will help you downloading Coursera videos, subtitles and quizzes (but not answering the quiz). It will automatically download and convert vtt subtitle files into srt. All resources downloaded are numbered according to their sequence.

A game theoretic approach to explain the output of any machine learning model.

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

Transformer OCR

北京邮电大学“网络搜索原理”课程资料(2019)

php wrapper for opencv

Jupyter notebooks and code examples for my Kaggle Beginners' Guide.

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

Example code from the book "Deep Learning for the Life Sciences"

[ko] 패스트캠퍼스 강의 자료

Jupyter notebooks for the Julia Scientific Programming course on Coursera

DGL tutorial in KDD 2019

TF2.0 / TensorFlow 2.0 / TensorFlow2.0 官方文档中文版

"Data Mining in Action Course", Moscow Institute of Physics and Technologies

高速でJuliaを学ぶ入門チュートリアル