uncertainty-baselines
deep_learning_and_the_game_of_go
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| uncertainty-baselines | deep_learning_and_the_game_of_go | |
|---|---|---|
| 3 | 3 | |
| 1,362 | 929 | |
| 1.7% | - | |
| 5.5 | 0.0 | |
| 20 days ago | over 1 year ago | |
| Python | Python | |
| Apache License 2.0 | - |
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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.
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
What are some alternatives?
pytorch-forecasting - Time series forecasting with PyTorch
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
deepxde - A library for scientific machine learning and physics-informed learning
Bayeslite - BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.
GeneticAlgorithmPython - Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
probability - Probabilistic reasoning and statistical analysis in TensorFlow
pycox - Survival analysis with PyTorch
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
Keras - Deep Learning for humans
roc_comparison - The fast version of DeLong's method for computing the covariance of unadjusted AUC.