6572 Open source projects that are alternatives of or similar to Ganspace

Python codes for low-rank tensor factorization, tensor completion, and tensor regression techniques.

A Notebook where I implement differents anomaly detection algorithms on a simple exemple. The goal was just to understand how the different algorithms works and their differents caracteristics.

Source code of our TIP 2018 paper "Object-Part Attention Model for Fine-grained Image Classification"

Scikit-learn compatible Locality Preserving Projections in Python

Deep Learning for Pugs

Kaggle Toxic Comments Challenge

Image retrieval system demo based on caffe and lsh

some machine learning examples

Powerful, automated analysis and design of quantum microwave chips & devices [Energy-Participation Ratio and more]

Pangeo Example Notebooks

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

Lightweight implementation of neural style in Pytorch with SqueezeNet

This is the code for "Quantum Machine Learning LIVE" By Siraj Raval on Youtube

Codes and models for the CVPR 2017 spotlight paper "Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning".

Reimplementation of cycle-gan(https://arxiv.org/pdf/1703.10593.pdf) with improved w-gan(https://arxiv.org/abs/1704.00028) loss in tensorflow.

Keras implementation of NASNet-A

Experimenting with and teaching probabilistic programming

A walkthrough of some Google Earth Engine Features, as well as using the data in TensorFlow

Real-time Number Recognition using Apple's CoreML 2.0 and MNIST -

Pytorch implementation of pix2pix for various datasets.

Multi-GPU data-parallel training in Keras

Papers I read

Peregrine: Fast Genome Assembler Using SHIMMER Index

Experiments in positive-unlabeled learning

Códigos e materiais sobre TensorFlow em Português

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

This repository contains training material related to Azure and Machine Learning

Course materials for Introduction to Computational Literary Analysis, taught at UC Berkeley in Summer 2018, 2019, and 2020, and at Columbia University in Fall 2020.

Convolutional Gaussian processes based on GPflow.

Caffe implementation of Mobilenet-SSD face detector (NCS compatible)

Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.

nbconflux converts Jupyter Notebooks to Atlassian Confluence pages

This is the code for "C Programming for Machine Learning" By Siraj Raval on Youtube

AutoLoc: Weakly-supervised Temporal Action Localization in Untrimmed Videos. ECCV'18.

Export Spotify playlists using the Web API. Analyze them in the Jupyter notebook.

《Python 学习手册》（第四版 + 第五版）笔记

2018年全国大学生计算机应用能力大赛之住房月租金预测第一名代码

A collection of simple tutorials for using Fonduer

Scalable Graph Neural Networks with Deep Graph Library

tutorials made for biologists to learn deep learning

strategy 101 从今天开始 逐步开放101个基础策略的QA实现 包含5个大类

ISMIR 2020 Tutorial for Metric Learning in MIR

En este repositorio encontraras todo relacionado con python, desde definiciones básicas hasta Machine Learning y un poco de Data Science, este repositorio contiene todo lo que e aprendido acerca de python, espero lo disfrutes.

《Python工具代码速查手册》是我们的python培训教材，主要面向数据分析方向。其中包含了python的常用总结性操作，使用jupyter notebook，利用markdown和script结果对常用操作进行总结，包括了使用方式和脚本。之所以使用notebook形式是可以方便大家编辑，方便大家形成自己的总结笔记。当然各位有更好的操作建议也欢迎向我们团队分享~

Implementing YOLO using ResNet as the feature extraction network

A list of NLP(Natural Language Processing) tutorials

Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.

Introduction to Statistical Learning with R을 Python으로

A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"

Trumania is a scenario-based random dataset generator library in python 3

Source for my Pythonic Perambulations blog

Training a decision tree to predict diseases from symptoms.

A set of Jupyter notebooks demonstrating collaborative filtering using matrix factorization with Keras.