best-of-ml-python VS bulbea

Compare best-of-ml-python vs bulbea and see what are their differences.

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. (by ml-tooling)
Python Machine Learning Data Science NLP Data Visualization Tensorflow Pytorch scikit-learn Keras data-visualizations Deep Learning Automl ML Jax Transformer Data Analysis chatgpt Gpt gpt-3
Source Code
ml-python.best-of.org
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bulbea

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling (by achillesrasquinha)
Deep Learning stock-market Machine Learning Finance sentiment-analysis quantitative-finance quantitative-trading stock-market-prediction stock-prediction python-library Prediction
Source Code
bulbea.readthedocs.io
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best-of-ml-python bulbea
16 97
15,302 1,969
1.3% -
7.9 0.0
5 days ago over 3 years ago
Python Python
Creative Commons Attribution Share Alike 4.0 GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

best-of-ml-python

Posts with mentions or reviews of best-of-ml-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-10.

bulbea

Posts with mentions or reviews of bulbea. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing best-of-ml-python and bulbea you can also consider the following projects:

Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.

mlfinlab - MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

qlib - Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

dtale - Visualizer for pandas data structures

stock-prediction-deep-neural-learning - Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)

Deep_Learning_Machine_Learning_Stock - Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.

n4m-sentiment - Sentiment Analysis for your MaxMSP patches - made easy.

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

tuneta - Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

best-of-ml-python vs Awesome-WAF bulbea vs mlfinlab best-of-ml-python vs ktrain bulbea vs qlib best-of-ml-python vs dtale bulbea vs stock-prediction-deep-neural-learning best-of-ml-python vs ffcv bulbea vs Deep_Learning_Machine_Learning_Stock best-of-ml-python vs awesome-python bulbea vs n4m-sentiment best-of-ml-python vs kmodes bulbea vs tuneta