#
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.
Here are 1,266 public repositories matching this topic...
machine learning and deep learning tutorials, articles and other resources
-
Updated
Jan 17, 2020
Flamefire
commented
Nov 13, 2019
Judging by the logic in https://github.com/horovod/horovod/blob/38e91bee84efbb5b563a4928027a75dc3974633b/setup.py#L1369 it is clear, that before installing Horovod one needs to install the underlying framework(s) (TensorFlow, PyTorch, ...).
This is not mentioned in the installation instructions which made me think, I can install Horovod and then any framework I like (or switch between them) and
Visualizer for neural network, deep learning and machine learning models
-
Updated
Jan 17, 2020 - JavaScript
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.
-
Updated
Jan 17, 2020 - Python
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.
-
Updated
Jan 17, 2020 - Python
My blogs and code for machine learning. http://cnblogs.com/pinard
-
Updated
Jan 17, 2020 - Jupyter Notebook
2
sasikanth513
commented
Jun 10, 2019
To host model on our own server in readme.md you've provided link to https://github.com/infinitered/nsfwjs/tree/master/example/nsfw_demo/public/model
I was trying to host these on my server and was facing issues but working absolutely fine with the default files then figured out that model.json from demo folder is different from the one you're using as default here `https://s3.amazonaws.com
orihime-kitajima
commented
Jul 3, 2019
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?
🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"
-
Updated
Jan 17, 2020 - JavaScript
Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm
-
Updated
Jan 17, 2020 - JavaScript
TRAINS - Auto-Magical Experiment Manager & Version Control for AI - NOW WITH AUTO-MAGICAL DEVOPS!
-
Updated
Jan 16, 2020 - Python
An offline recommender system backend based on collaborative filtering written in Go
-
Updated
Jan 16, 2020 - Go
A machine learning toolkit dedicated to time-series data
-
Updated
Jan 17, 2020 - Python
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
-
Updated
Jan 13, 2020 - Python
:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记
-
Updated
Jan 17, 2020 - Jupyter Notebook
A curated list of awesome anomaly detection resources
-
Updated
Jan 17, 2020
Open
Typos in readme.md
1
GantMan
commented
Mar 1, 2019
Enable the ability to ask if we should preload weights/start from original model etc.
This would be much nicer.
Use some good UI stuff like https://github.com/Mckinsey666/bullet
Machine Learning Lectures at the European Space Agency (ESA) in 2018
-
Updated
Jan 16, 2020 - Jupyter Notebook
Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
-
Updated
Dec 23, 2019 - Jupyter Notebook
tensorflow implementation of Grad-CAM (CNN visualization)
-
Updated
Jan 9, 2020 - Jupyter Notebook
A UI tool for quickly training image classifiers in the browser
-
Updated
Jan 5, 2020 - TypeScript
It may be good to provide pure Python implementation of Gradient Descent (instead of SciPy one) for Logistic Regression just for the learning purposes.