{{ message }}
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Visualizer for neural network, deep learning and machine learning models
machine learning and deep learning tutorials, articles and other resources
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.
My blogs and code for machine learning. http://cnblogs.com/pinard
RE: nswfjs.com - Looks like video might have broke and no tests caught it.
Code: https://github.com/infinitered/nsfwjs/tree/master/example/nsfw_demo
Fix, and fix tests.
深度学习入门教程, 优秀文章, Deep Learning Tutorial
How to use Watcher / WatcherClient over tcp/ip network?
Watcher seems to ZMQ server, and WatcherClient is ZMQ Client, but there is no API/Interface to config server IP address.
Do I need to implement a class that inherits from WatcherClient?
Machine learning resources
TRAINS - Auto-Magical Experiment Manager & Version Control for AI - NOW WITH AUTO-MAGICAL DEVOPS!
AI on Hadoop
Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm
Hi, Thanks for the awesome library!
So I am running a Kmeans on lots of different datasets, which all have roughly four shapes, so I initialize with those shapes and it works well, except for just a few times. There are a few datasets that look different enough that I end up with empty clusters and the algorithm just hangs ("Resumed because of empty cluster" again and again).
I conceptually
An offline recommender system backend based on collaborative filtering written in Go
A curated list of awesome anomaly detection resources
Bounds check and call [] operator
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet
PyTorch to Keras model convertor
Keras model of NSFW detector
Neural Nets for Nudity Detection and Censoring
Tree LSTM implementation in PyTorch
A simple python OCR engine using opencv
Tools to Design or Visualize Architecture of Neural Network
Hello,
Considering your amazing efficiency on pandas, numpy, and more, it would seem to make sense for your module to work with even bigger data, such as Audio (for example .mp3 and .wav). This is something that would help a lot considering the nature audio (ie. where one of the lowest and most common sampling rates is still 44,100 samples/sec). For a use case, I would consider vaex.open('Hu