5921 Open source projects that are alternatives of or similar to Mariadb.org Tools

NIST Language i-vector Machine Learning Challenge

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Python 2.7 package with examples for evaluating a network's ability to group a given node set in network proximity.

PyCon code and presentation

Simulate binance fee mechanism by RL agents

This is the code for "How Do We Democratize Access to Data?" by Siraj Raval on Youtube

Pruning and other network surgery for trained TF.Keras models.

This is a tutorial on training a network to detect buildings with the SpaceNet data.

Statistics and Machine Learning for Data Mining

Course materials for Advanced Binary Deobfuscation by NTT Secure Platform Laboratories

Aspect-Based Sentiment Analysis

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bayesian graphical modelling and a bit of do-calculus for discrete data.

Implementation of Signed NALU & NAC for all real numbers in PyTorch.

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Covid-on-the-Web Dataset

Simple datasets and notebooks for data visualization, statistical analysis and modelling - with write-ups here: http://projectosyo.wix.com/datadoubleconfirm.

By means of stochastic volatility models

Sample queries for Advanced hunting in Microsoft 365 Defender

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The blog post about Kubeflow, including all materials

A benchmark of batch-effect correction methods for single-cell RNA sequencing data

Aprenda a Programar

Labs and demos for courses in the Google Cloud Platform Training (https://training.topgate.co.jp).

Random stuff related to CS224N that I'm making public. Not the main repository.

Repositório do Curso Online Python Fundamentos Para Análise de Dados.

PyTorch implementation of "Auto-Encoding Variational Bayes"

Columbia Advanced Machine Learning Seminar

不可能不会系列

Pythonエンジニア ファーストブックのサンプルコード

Jupyter notebook for OSCON 2017 Neo4j recommendations workshop

Bayes Impact's Encompass Tool for Visualizing and Analyzing Geographic Access

Gerrymandering and Computational Redistricting

Demo of PySpark and Jupyter Notebook with the Jupyter Docker Stacks

MLHEP 2017 slides & seminars

backtrader with DRL ( Deep Reinforcement Learning)

A Convenient Generalization of Schlick's Bias and Gain Functions

code to reproduce the empirical results in the research paper

Jupyter Notebook with examples of useful CryptoCompare API calls

For cell segmentation and tracking.

Using HoloViz to explore relationship between surface temperature and tree density

Deep learning installed Shape Detector using Keras and CoreML 📱

Introduction to Python (2014)

Style Transfer - Alia Bhatt (Google Colab)

University of Michigan on Coursera

Sentimental analysis using keras in python