pycox
deep_learning_and_the_game_of_go
| pycox | deep_learning_and_the_game_of_go | |
|---|---|---|
| 1 | 3 | |
| 764 | 929 | |
| - | - | |
| 0.0 | 0.0 | |
| 9 months ago | over 1 year ago | |
| Python | Python | |
| BSD 2-clause "Simplified" 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.
pycox
-
[D] Time-varying covariates in survival analysis
take a look at https://github.com/havakv/pycox
deep_learning_and_the_game_of_go
-
Training an AI for Tigris and Euphrates
A good book I found is https://www.manning.com/books/deep-learning-and-the-game-of-go
-
Why do engines often evaluate completely winning endgame positions between +60 and +63? What's significant about the low 60's as an evaluation? Or is it just a placeholder when the computer can't quite find a forced mate?
If you want to understand how the new approach used by Leela Zero and Alpha Zero works, the book Deep Learning and the Game of Go is fun and easy to read. Although it's about Go rather than chess, most of the contents are equally relevant to chess.
-
[Q] Deep Learning and the Game of Go - anyone got the code to work?
One of the first hits pointed me to this github repo: https://github.com/maxpumperla/deep_learning_and_the_game_of_go
What are some alternatives?
pytorch-forecasting - Time series forecasting with PyTorch
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
pytorch-tutorial - PyTorch Tutorial for Deep Learning Researchers
deepxde - A library for scientific machine learning and physics-informed learning
scikit-survival - Survival analysis built on top of scikit-learn
GeneticAlgorithmPython - Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD
uncertainty-baselines - High-quality implementations of standard and SOTA methods on a variety of tasks.
bittensor - Internet-scale Neural Networks
Keras - Deep Learning for humans
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python