keras
auton-survival
| keras | auton-survival | |
|---|---|---|
| 3 | 1 | |
| 54,926 | 296 | |
| - | 2.0% | |
| 9.9 | 4.4 | |
| about 2 years ago | about 1 month 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.
keras
-
Keras - Difference between categorical_accuracy and sparse_categorical_accuracy
The source code can be found here:
-
keras error on predict
Here
-
How to get reproducible results in keras
I get different results (test accuracy) every time I run the imdb_lstm.py example from Keras framework (https://github.com/fchollet/keras/blob/master/examples/imdb_lstm.py)The code contains np.random.seed(1337) in the top, before any keras imports. It should prevent it from generating different numbers for every run. What am I missing?
auton-survival
What are some alternatives?
AI-Aimbot - World's Best AI Aimbot - CS2, Valorant, Fortnite, APEX, every game
xgboost-survival-embeddings - Improving XGBoost survival analysis with embeddings and debiased estimators
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
pycox - Survival analysis with PyTorch
InceptionTime - InceptionTime: Finding AlexNet for Time Series Classification
causalnex - A Python library that helps data scientists to infer causation rather than observing correlation.
watermark-removal - a machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image
pgmpy - Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
autoprognosis - A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
scikit-learn - scikit-learn: machine learning in Python
TFLearn - Deep learning library featuring a higher-level API for TensorFlow.