6528 Open source projects that are alternatives of or similar to Ml Fraud Detection

Original versions of the exercises

The art of effective visualization of multi-dimensional data

Completed assignment jupyter notebook of Foundations of Convolutional Neural Networks, deeplearning.ai coursera course

主要展示Datawhale的组队学习计划。

This course will teach you only the relevant topics in Python for starting your career in Data Analytics. There are also a bunch of tips and tricks throughout for resume writing, solving case studies, interviews etc. The idea is to help you land a job in analytics and not just teach you Python.

Satellite data processing experiments

Tiny and elegant deep learning library

Activities and exercises for the Part IA computing course in Michaelmas Term

Developer API service description and example client code

An Introduction to Statistical Learning with Applications in PYTHON

Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH

Discuss requirments and develop code for #1-mvp-vbacc MVP (see also this channel on ossdc.org Slack)

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma

Keras Object Detection API with YOLK project 🍳

A Box detection algorithm for any image containing boxes.

The deeplearning algorithms implemented by tensorflow

pytorch implementation of Neural Parametric Singing Synthesizer 歌声合成

Github开源项目hyperopt系列的中文文档,以及学习教程等

Course: Deep Learning

Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

Reproducible machine learning analysis of gene expression and alternative splicing data

Notebook demo V2Ray traffic classification by deep packet inspection

Essential and Fundametal aspects of Natural Language Processing with hands-on examples and case-studies

NMA Computational Neuroscience course

A collection of work related to COVID-19

Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg

Open standard for machine learning interoperability

Fined grained classification On Car dataset

Code for IEEE Communication Magazine (A Survey on Behaviour Recognition Using WiFi Channle State Information)

Montréal Deep Learning Summer School 2016 material

Deep neural networks for predicting CpG methylation

Deep Neural Decision Trees

Google BigQuery Tutorial for Data Analyst

Jupyter notebooks demonstrating the utilization of open-source codes for the study of materials science.

Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design

Source code for 'Monetizing Machine Learning' by Manuel Amunategui and Mehdi Roopaei

机器学习、深度学习、自然语言处理、计算机视觉等AI领域相关技术的算法推导及应用

VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo

Neural networks from scratch

2018台灣公投結果中的不合理數據

Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:

Curated Notebooks from STScI

implementation of PersonLab(https://arxiv.org/abs/1803.08225) using TF-slim

Hierarchical Gating Networks for Sequential Recommendation

Facial Expression Recognition with a deep neural network as a PyPI package

Materials for deep NLP course

Tutorials on using JuMP for mathematical optimization in Julia

Data & Code associated with my tutorial on the sci-kit learn machine learning library in python

Deep Declarative Networks

Code repository of the Earth Microbiome Project.

Explore and analyse your Home Assistant data

Source Code for 'Python Projects for Beginners' by Connor Milliken

Versatile, high-performance histogram toolkit for Numpy.