Harmony
tensorflow
Harmony | tensorflow | |
---|---|---|
26 | 223 | |
4,835 | 182,575 | |
- | 0.5% | |
8.9 | 10.0 | |
8 days ago | 2 days ago | |
C# | C++ | |
MIT License | Apache License 2.0 |
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Harmony
- How to make mods?
- Learning how to mod
- [Gordianquest] Mod amplificateur de butin
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Fast Script Reload - Hot Reload implementation for Unity is now open source!
Some more details https://github.com/pardeike/Harmony/issues/424
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Set return value of method called by method in unit test
Here's what you're looking for.
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Why use { get; set; } at all?
Probably a little out of your scope but the library Harmony you can write patches (detours) on methods. Using get/set instead of a field would allow you to override the property's method. Let's say you wanted to write something to always have the name uppercase. You could patch the constructor and set this.name = this.name.ToUpper() but that field is publicly assignable so you can't really enforce that. On the other hand with a property you can override the set method to say this._name = value.ToUpper().
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Python's "Disappointing" Superpowers
It's kind of a subtle distinction that I think was lost between the posted article and the original article it was responding to, but I don't think the kinds of reflection capabilities that Roslyn provides is what the author intended. The specific example given in the referenced article for "Higher-order programs" specifically refers to the ability to replace function implementations at runtime without interrupting the program, and specifically calls out hot-code reloading (such as what Java provides) as a deficient form of similar functionality. This is closer to the type of functionality libraries like Harmony provide, but even that solution requires including the library and instrumenting your code ahead of time.
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Reverse engineering integrity checks in Black Ops 3
https://github.com/pardeike/Harmony harmony lets you patch functions at runtime, kind of like a dll injection / memory edit
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Loot amplifier mod
Download Harmony 2 and put net472 version of the library into GordianQuest_Data\Managed
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Replace class method from DLL with my own
I'd recommend looking into Harmomy and seeing if you're able to use it. It makes modifying DLLs pretty convenient.
tensorflow
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Side Quest Devblog #1: These Fakes are getting Deep
# L2-normalize the encoding tensors image_encoding = tf.math.l2_normalize(image_encoding, axis=1) audio_encoding = tf.math.l2_normalize(audio_encoding, axis=1) # Find euclidean distance between image_encoding and audio_encoding # Essentially trying to detect if the face is saying the audio # Will return nan without the 1e-12 offset due to https://github.com/tensorflow/tensorflow/issues/12071 d = tf.norm((image_encoding - audio_encoding) + 1e-12, ord='euclidean', axis=1, keepdims=True) discriminator = keras.Model(inputs=[image_input, audio_input], outputs=[d], name="discriminator")
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Google lays off its Python team
[3]: https://github.com/tensorflow/tensorflow/graphs/contributors
- TensorFlow-metal on Apple Mac is junk for training
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🔥🚀 Top 10 Open-Source Must-Have Tools for Crafting Your Own Chatbot 🤖💬
To get up to speed with TensorFlow, check their quickstart Support TensorFlow on GitHub ⭐
- One .gitignore to rule them all
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10 Github repositories to achieve Python mastery
Explore here.
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GitHub and Developer Ecosystem Control
Part of the major userbase pull in GitHub revolves around hosting a considerable number of popular projects including Angular, React, Kubernetes, cpython, Ruby, tensorflow, and well even the software that powers this site Forem.
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Non-determinism in GPT-4 is caused by Sparse MoE
Right but that's not an inherent GPU determinism issue. It's a software issue.
https://github.com/tensorflow/tensorflow/issues/3103#issueco... is correct that it's not necessary, it's a choice.
Your line of reasoning appears to be "GPUs are inherently non-deterministic don't be quick to judge someone's code" which as far as I can tell is dead wrong.
Admittedly there are some cases and instructions that may result in non-determinism but they are inherently necessary. The author should thinking carefully before introducing non-determinism. There are many scenarios where it is irrelevant, but ultimately the issue we are discussing here isn't the GPU's fault.
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Can someone explain how keras code gets into the Tensorflow package?
and things like y = layers.ELU()(y) work as expected. I wanted to see a list of the available layers so I went to the Tensorflow GitHub repository and to the keras directory. There's a warning in that directory that says:
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Is it even possible to design a ML model without using Python or MATLAB? Like using C++, C or Java?
Exactly what language do you think TensorFlow is written in? :)
What are some alternatives?
Mono.Cecil - Cecil is a library to inspect, modify and create .NET programs and libraries.
PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
Fody - Extensible tool for weaving .net assemblies
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Extenject - Dependency Injection Framework for Unity3D [Moved to: https://github.com/modesttree/Zenject]
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
UnrealCLR - Unreal Engine .NET 6 integration
LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
UniTask - Provides an efficient allocation free async/await integration for Unity.
scikit-learn - scikit-learn: machine learning in Python
InjectFix - InjectFix is a hot-fix solution library for Unity
LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.