Anomaly_Detection_Tuto
bitcoin_price_prediction
Anomaly_Detection_Tuto | bitcoin_price_prediction | |
---|---|---|
2 | 1 | |
182 | 10 | |
- | - | |
0.0 | 0.0 | |
about 3 years ago | about 3 years ago | |
Jupyter Notebook | Jupyter Notebook | |
- | 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.
Anomaly_Detection_Tuto
bitcoin_price_prediction
-
Deep And Machine Learning Based Bitcoin Price Prediction | OPEN SOURCE | Jupyter Notebook
Github: onuratakan/bitcoin_price_prediction: This project tries to prediction the bitcoin price with machine and deep learning. (github.com)
What are some alternatives?
alibi-detect - Algorithms for outlier, adversarial and drift detection
mlnotify - 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.
tsfresh - Automatic extraction of relevant features from time series:
NYU-DLSP20 - NYU Deep Learning Spring 2020
TrainInvaders - 👾 Jupyter Notebook + Space Invaders!?
mix_merkletree - Usefull Merkle Tree Example
Python-Bible - Resourceful Python Collection
Animender - An AI that recommends anime based on personal history.
it-salary-analysis - 💰 Analysis of Salaries in IT Roles: DevOps, Cyber Security, and AI
biggestwar_ai
peacasso - UI interface for experimenting with multimodal (text, image) models (stable diffusion).
Diabetes-Prediction-Using-SVM - In this case, we train our model with several medical informations such as the blood glucose level, insulin level of patients along with whether the person has diabetes or not so this act as labels whether that person is diabetic or non-diabetic so this will be label for this case.