Craft
Keras
Craft | Keras | |
---|---|---|
9 | 78 | |
10,197 | 60,937 | |
- | 0.3% | |
0.0 | 9.9 | |
28 days ago | 6 days ago | |
C | Python | |
MIT License | Apache License 2.0 |
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.
Craft
- A simple Minecraft clone written in C using modern OpenGL
- Coding a Minecraft clone in pure C
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What lesser known but amazing functionality of CHATGPT are you willing to share?
Here’s the original code: https://github.com/fogleman/Craft/blob/master/src/world.c I don’t really have an “after” because I edited it a lot and didn’t backup the original, but try it yourself and you should get similar results. I also told it to make the variable names better.
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Are C programs only used for terminal based interaction?
When this subject comes up, I always like to link to one of the many Minecraft clones written in C. https://github.com/fogleman/Craft
- Is C only in terminal?
- There is framework for everything.
- are there tutorials for code organization for games in C?
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I just learned java, want to make a simple minecraft clone
Not java but https://github.com/fogleman/Craft will give you an idea of what has to be done.
- Resources to learn voxel based game development?
Keras
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Library for Machine learning and quantum computing
Keras
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My Favorite DevTools to Build AI/ML Applications!
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development.
- Release: Keras 3.3.0
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Getting Started with Gemma Models
After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow.
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Keras 3.0
All breaking changes are listed here: https://github.com/keras-team/keras/issues/18467
You can use this migration guide to identify and fix each of these issues (and further, making your code run on JAX or PyTorch): https://keras.io/guides/migrating_to_keras_3/
- Keras 3: A new multi-back end Keras
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Can someone explain how keras code gets into the Tensorflow package?
I'm guessing the "real" keras code is coming from the keras repository. Is that a correct assumption? How does that version of Keras get there? If I wanted to write my own activation layer next to ELU, where exactly would I do that?
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How popular are libraries in each technology
Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks.
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List of AI-Models
Click to Learn more...
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Official Question Thread! Ask /r/photography anything you want to know about photography or cameras! Don't be shy! Newbies welcome!
I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them.
What are some alternatives?
minecraft-pi-reborn - Official Mirror Of @TheBrokenRail's Minecraft: Pi Edition: Reborn.
MLP Classifier - A handwritten multilayer perceptron classifer using numpy.
doomgeneric - Easily portable doom
scikit-learn - scikit-learn: machine learning in Python
etlegacy - ET: Legacy is an open source project based on the code of Wolfenstein: Enemy Territory which was released in 2010 under the terms of the GPLv3 license.
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
BetterSpades - BetterSpades, an Ace of Spades client targeted at low end systems (GL/ES 1.1). Runs on your grandmother's rig!
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
qb64 - BASIC for the modern era.
tensorflow - An Open Source Machine Learning Framework for Everyone
SDLPoP - An open-source port of Prince of Persia, based on the disassembly of the DOS version.
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.