machinelearning

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.

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Please provide a clear and concise description of the problem. This should contain all the steps nee

https://github.com/infinitered/nsfwjs/blob/ebcd41c46087a3f42c6577f96acc53d7a934b068/src/index.ts#L68

Hello, it seems, although not explicit I can save the model to different schemas by referencing the underlying "model" attribute in the model returned by nsfwjs.load() e.g.

`nsfwjs.load(path).then(function (newModel) {
console.log("path", path);
if(newModel) {

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?

Can we have an example of REST API calls in the documentation?
Examples with CURL, HTTPie or another client and the results would be better for newbies.
Thanks again for your good work.

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

Bounds check and call [] operator

Video detection for large videos takes quite a bit of time, and it's not really feasible in a server setting (even just testing on my laptop, the memory consumption was a bit of a concern). So recommendations that should be pretty easy to implement:

Instead of preprocessing all the frames beforehand, do it in batches and find the score. If a given threshold is not met, then preprocess the ne

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2020	2021	2022

machinelearning

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microsoft / ML-For-Beginners

trekhleb / homemade-machine-learning

lutzroeder / netron

dragen1860 / Deep-Learning-with-TensorFlow-book

horovod / horovod

ujjwalkarn / Machine-Learning-Tutorials

ludwig-ai / ludwig

vaexio / vaex

Mikoto10032 / DeepLearning

ljpzzz / machinelearning

infinitered / nsfwjs

microsoft / tensorwatch

allmachinelearning / MachineLearning

nidhaloff / igel

allegroai / clearml

ashishpatel26 / Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

trekhleb / nano-neuron

louisfb01 / Best_AI_paper_2020

tslearn-team / tslearn

Qihoo360 / XLearning

hoya012 / awesome-anomaly-detection

ssusnic / Machine-Learning-Flappy-Bird

uber / neuropod

MentatInnovations / datastream.io

notAI-tech / NudeNet

GantMan / nsfw_model

gmalivenko / pytorch2keras

wx-chevalier / AI-Series

onepanelio / onepanel

dynamicwebpaige / thinking-in-data