chai_py
MLP Classifier
chai_py | MLP Classifier | |
---|---|---|
3 | - | |
60 | 225 | |
- | - | |
0.0 | 0.0 | |
about 1 year ago | about 7 years ago | |
Python | Python | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
chai_py
-
WHAAATTT! Since when the bots can do this? How to use it?
The package is here: https://github.com/chai-research/chai_py Quoted directly from the documentation: "The bot response accepts markdown and so you can include an image like ![image_name](http://image-url/file.jpg)"
-
Developer Docs
Worth noting the code is not open source. As you can see here, the inside of the functions are empty : https://github.com/chai-nexus/chai_py/blob/main/chai_py/chai_bot.py But it may be possible to get its real content with the inspect module
-
Is there an updated Python API in the works by chance?
The latest release is 0.4.0 from about a year ago. This looks abandoned ( https://github.com/chai-nexus/chai_py and https://pypi.org/project/chaipy/ ) and doens't work for even simply operations like retrieving the bot list. (yes with authentication of course; I have 1 bot deployed and that call bombs with a 500 status claiming "Payload is too large")
MLP Classifier
We haven't tracked posts mentioning MLP Classifier yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
scikit-learn - scikit-learn: machine learning in Python
Keras - Deep Learning for humans
tensorflow - An Open Source Machine Learning Framework for Everyone
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
HotBits Python API - Python API for HotBits random data generator
adaptive - :chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
skflow - Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning