LucidMQ
tensorflow
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LucidMQ | tensorflow | |
---|---|---|
4 | 222 | |
27 | 182,456 | |
- | 0.8% | |
7.6 | 10.0 | |
8 months ago | 3 days ago | |
Rust | C++ | |
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.
LucidMQ
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Cap'n Proto 1.0
I'm using Cap'N Proto in a message broker application(LcuidMQ) I'm building for serialization. It has allowed me to created client applications rather quickly. There are some quirks can be difficult to wrap your head around, but once you understand it is really solid.
There are some difference between the language libraries and documentation can be lacking around those language specific solutions. I'm hoping to add blog articles and or contribute back to the example of these repositories to help future users in the future.
Check out my repo here for how I use it across Rust and Python, with Golang coming soon: https://github.com/lucidmq/lucidmq
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TinyBase v2.0: “the reactive data store for local-first apps”
I've been working on something that may fit your criteria. The API is kafka-like and it's whole goal is to provide an easy to use local-first stream datastore/data-engine.
It currently only has support for Rust and Python clients but working on expanding to node(JS) and C/C++ in the future.
https://github.com/lucidmq/lucidmq
- Released my first Python Library: LucidMQ
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What is a really cool thing you would want to write in Rust but don't have enough time, energy or bravery for?
If you're interested, check out the repo. Feedback is much appreciated to make this useful: https://github.com/bdkiran/lucidmq
tensorflow
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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? :)
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How to do deep learning with Caffe?
You can use Tensorflow's deep learning API for this.
What are some alternatives?
coq2rust - Coq to Rust program extraction. The whole tree is on the original Coq code base.
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)
supervisionary - The Supervisionary proof-checking kernel for higher-order logic
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
tinybase - The reactive data store for local‑first apps.
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
sycamore - A library for creating reactive web apps in Rust and WebAssembly
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.
sqlc - Generate type-safe code from SQL
scikit-learn - scikit-learn: machine learning in Python
cranelift-jit-demo - JIT compiler and runtime for a toy language, using Cranelift
LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.