996.ICU
tensorflow
| 996.ICU | tensorflow | |
|---|---|---|
| 70 | 223 | |
| 267,482 | 182,575 | |
| - | 0.5% | |
| 0.0 | 10.0 | |
| 11 months ago | 3 days ago | |
| Rust | C++ | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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996.ICU
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Help me understand the boomer mentality in Australia of wanting young people to struggle and slave like they did.
Then it was cracked down by the government. The creator of the 996ICU https://github.com/996icu/996.ICU was put into prison for treason.
- 狗逼粉红到我的YouTube下面留言，说996发起人判刑不是应为996项目。我没忍住骂了一顿。
- 996.ICU推动者被捕后妻子发声 却被墙国程序员集体围攻
- 996.ICU的发起人并非程渊
- 简要分析 ‖ 996·ICU发起人被捕案情简述和分析 加粗几点没有注意提及的地方 如佳士工人维权事件的影响没人注意
- 反996运动发起人勾结境外势力，涉嫌颠覆国家政权罪判处有期徒刑五年
- 996.ICU 项目发起人程渊的判决书（颠覆国家政权罪，2021年7月20日）
- 996.ICU项目发起人程渊被判刑了，罪名是 颠覆国家政权 是真的，这国家还能有好么？方丈小心眼，小垃圾，玩不起。
- What are your personal experiences working in IT in China?
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Dangers at working an American branch of a chinese company?
Work life balance. TikTok/ByteDance is pretty well known for 996 work culture. And you will have to adapt to zoom calls from China and lots of docs/messages will have some blend of Chinese. Probably won't help with future promotions internally if you don't know Chinese. Google Translate is a must.
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?
GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
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）
ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
freeCodeCamp - freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
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
git-issue - Git-based decentralized issue management
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.
gov-takedowns - Text of government takedown notices as received. GitHub does not endorse or adopt any assertion contained in the following notices.
scikit-learn - scikit-learn: machine learning in Python
DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.
LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.