6000 Open source projects that are alternatives of or similar to Duke Tsinghua Mlss 2017

2020 MIND news recomendation first place solution

Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

keras ImageDataGenerator example

Russian SuperGLUE benchmark

Lectures for Udemy - INLP

Slides produced by Engineers and Data Scientists of Blue Yonder

EfficientNet-GradCam Visualization

Supplementary materials for course "Pattern Recognition and Machine Learning" at

🔍 Attentional interfaces in TensorFlow.

Entry for machine learning

Exercises for hierarchical clustering with Python 3 and scipy as Jupyter Notebooks

Code to analyse structural covariance brain networks using python.

Jupyter Notebook Magics for Google Cloud ML Engine

Julia Tutorial for Finance and Econometrics Students

🌶 day by day

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Public facing notes page

This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average with an extreme student deviate (ESD) test to detect anomalous points.

Baseline of FashionAI Competition based on Keras.

汉语自然语言处理视频教程-开源学习资料

Verify Estonian e-id signatures on Ethereum

A generative network for animal vocalizations. For dimensionality reduction, sequencing, clustering, corpus-building, and generating novel 'stimulus spaces'. All with notebook examples using freely available datasets.

Data and methodology for the Big Mac index

밋업 자료

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

All my Lecture Notes, Assignments and Past Exam material.

Code examples on Apache Spark using python

Code for Learning with Data Blog

Introduction to Probability and Statistics

Wavenet and its applications with Tensorflow

This is our solution for WSDM - DiggSci 2020. We implemented a simple yet robust search pipeline which ranked 2nd in the validation set and 4th in the test set. We won the gold prize at innovation track and bronze prize at dataset track.

It's my projects

A series of self-correcting challenges for practicing your Machine Learning and Deep Learning skills

COVID-Net Open Source Initiative - Models and Data for COVID-19 Detection in Chest CT

Solutions in Python for Kevin Murphy's Machine Learning: a Probabilistic Perspective

A comprehensive guide for learning regular expressions using Python

Teal deer (from TL;DR) helps you get the gist of all the stuff you need to read, so you don't have to read it all at once.

7 ADIMLIK YAPAY ZEKA YOLCULUGU

SalmonTE is an ultra-Fast and Scalable Quantification Pipeline of Transpose Element (TE) Abundances

🕵️ Dart / Flutter VM snapshot analyzer

Códigos explicados nos vídeos do canal Universo Discreto (YouTube)

All the learning material for deep learning bootcamp can be found in this repository

Used LSTM Network to classify eeg signals based on stimuli the subject recieved (visual or audio)

Stock Fundamental Analysis using Machine Learning Classification Models

Multi Text Classificaiton

Deep Q Learning via Pytorch

Data release for Activity Inequality paper

Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.

This is the code for "The Evolution of Gradient Descent" by Siraj Raval on Youtube

Tools for estimating problem difficulty, predictors rating trajectories, and tracking individual learning progress in algorithms.

Python scripts that help me be a successfull meteorologist. (Python 2) For Python 3, use: https://github.com/blaylockbk/pyBKB_v3