6003 Open source projects that are alternatives of or similar to Movielens

A tour through recommendation algorithms in python [IN PROGRESS]

Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.

Variational autoencoders for collaborative filtering

pytorch version of neural collaborative filtering

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Tensorflow tutorial for various Deep Neural Network visualization techniques

Area-weighted venn-diagrams for Python/matplotlib

Repository to accompany "Pandas for Everyone"

links to conference publications in graph-based deep learning

A guide on how to set up Jupyter with Pyspark painlessly on AWS EC2 clusters, with S3 I/O support

Collection of presentations for advanced Python topics

个人使用jupyter notebook整理的peter的《机器学习实战》代码，使其更有层次感，更加连贯，也加了一些自己的修改，以及注释

Simple notebook to stream torrent files to Google Drive using Google Colab.

A Deep Learning based project for creating line art portraits.

讲解常见的机器学习算法

The ApolloScape Open Dataset for Autonomous Driving and its Application.

Deep Learning Study Group

Easy-to-run example notebooks for Dask

An on-premises, bare-metal solution for deploying GPU-powered applications in containers

Implementation of spatial transformer networks (STNs) in keras 2 with tensorflow as backend.

Patent analysis using the Google Patents Public Datasets on BigQuery

https://madewithml.com/

Codes for weekly challenges on Deep Learning by Siraj

Two-talker Speech Separation with LSTM/BLSTM by Permutation Invariant Training method.

TensorFlow实战，使用LSTM预测彩票

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Semantic image segmentation in Tensorflow

My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

A soil humidity level sensor based on ATTINY44. Uses capacitive sensing.

REST API is a web-based API using a Websocket connection. Developers and investors can create custom trading applications, integrate into our platform, back test strategies and build robot trading.

C# kernel for Jupyter

Public release of the Image Matching Benchmark: https://image-matching-challenge.github.io

(ECCV 2020) RANSAC-Flow: generic two-stage image alignment

Experimental code to read/write NumPy .NPY files in MATLAB

The Hunting ELK

Using siamese network to do dimensionality reduction and similar image retrieval

tensorflow implementation of Grad-CAM (CNN visualization)

TensorFlow tutorial on Generative Adversarial Models

Implementations for my blog post [here](https://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02#.flflpo3xf)

A Code-First Introduction to NLP course

Примеры для курса "Программирование глубоких нейронных сетей на Python"

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

Simple tutorials using Keras Framework

Siamese Mask R-CNN model for one-shot instance segmentation

摩拜单车爬虫

An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'

Jupyter Notebook & Data Associated with my Tutorial video on the Python NumPy Library

Place recognition with WiFi fingerprints using Autoencoders and Neural Networks

The code to reproduce results from paper "MultiFiT: Efficient Multi-lingual Language Model Fine-tuning" https://arxiv.org/abs/1909.04761

📚 嵌入式系统基础知识与主流编程语言相关内容总结