deep_learning_and_the_game_of_go
uncertainty-baselines
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| deep_learning_and_the_game_of_go | uncertainty-baselines | |
|---|---|---|
| 3 | 3 | |
| 929 | 1,362 | |
| - | 1.8% | |
| 0.0 | 5.5 | |
| over 1 year ago | 25 days ago | |
| Python | Python | |
| - | Apache License 2.0 |
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deep_learning_and_the_game_of_go
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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
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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.
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[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
uncertainty-baselines
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Google AI Introduces ‘Uncertainty Baselines Library’ For Uncertainty and Robustness in Deep Learning
Code for https://arxiv.org/abs/2106.04015 found: https://github.com/google/uncertainty-baselines
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[D] Mixed Precision Training Tips
I know Reddit likes dumping on TensorFlow but it's actually really easy. Set a policy and upcast your final logits to float32.
What are some alternatives?
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
pytorch-forecasting - Time series forecasting with PyTorch
deepxde - A library for scientific machine learning and physics-informed learning
GeneticAlgorithmPython - Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Bayeslite - BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.
pycox - Survival analysis with PyTorch
probability - Probabilistic reasoning and statistical analysis in TensorFlow
Keras - Deep Learning for humans
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
roc_comparison - The fast version of DeLong's method for computing the covariance of unadjusted AUC.