GLU VS Stock-Prediction-Neural-Network-and-Machine-Learning-Examples

Compare GLU vs Stock-Prediction-Neural-Network-and-Machine-Learning-Examples and see what are their differences.

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GLU Stock-Prediction-Neural-Network-and-Machine-Learning-Examples
1 3
19 265
- 2.3%
0.0 8.5
about 1 year ago 5 months ago
Python Python
Apache License 2.0 Apache License 2.0
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.

GLU

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

Stock-Prediction-Neural-Network-and-Machine-Learning-Examples

Posts with mentions or reviews of Stock-Prediction-Neural-Network-and-Machine-Learning-Examples. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing GLU and Stock-Prediction-Neural-Network-and-Machine-Learning-Examples you can also consider the following projects:

Game-Bot - Artificial intelligence learn playing any game with watching you.

Stocks-Pattern-Analyzer - This tool should help discover different patterns based on similarity measures in historical (financial) data

Perceiver - Implementation of Perceiver, General Perception with Iterative Attention in TensorFlow

Beibo - 🤖 Predict the stock market with AI 用AI预测股票市场

pinferencia - Python + Inference - Model Deployment library in Python. Simplest model inference server ever.

FAIG - Fully Automated IG Trading

Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials - A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

The-Oracle - 🤖 Predict the stock market with AI 用AI预测股票市场 [Moved to: https://github.com/ssantoshp/Beibo]

NBA-Machine-Learning-Sports-Betting - NBA sports betting using machine learning

deepvision - PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/implementations - Vision Transformer (ViT), ResNetV2, EfficientNetV2, NeRF, SegFormer, MixTransformer, (planned...) DeepLabV3+, ConvNeXtV2, YOLO, etc.