tevr-asr-tool
polars
| tevr-asr-tool | polars | |
|---|---|---|
| 9 | 144 | |
| 408 | 26,218 | |
| 0.0% | 2.9% | |
| 5.9 | 10.0 | |
| over 1 year ago | 5 days ago | |
| C | Rust | |
| MIT License | MIT License |
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.
tevr-asr-tool
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Ask HN: Why is pay so much higher in the US? (or is it?)
Do some cool open source stuff. Since August 9th, I received about 50 job offers mentioning this repo: https://github.com/DeutscheKI/tevr-asr-tool Most of them were senior engineer or AI researcher, with a few CTO / co-founder offers sprinkled in. I'm not in the market and this was a bit unexpected to me, but those emails sounded like they would pay well. And most was remote for US companies.
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Ask HN: Who is using C++ as the main language for new project?
Me, because I plan to extend to realtime processing: https://github.com/DeutscheKI/tevr-asr-tool
Also, all the performance critical stuff on my production servers is C++ with JNI or pybind wrappers.
- Show HN: 用284行C++语言实现最先进的德语语音识别 (Show HN: State-of-the-art German speech recognition in 284 lines of C++)
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Show HN: State-of-the-Art German Speech Recognition in 284 lines of C++
The unique work that makes this speech recognition superior to other tools is in those 284 lines of code: https://github.com/DeutscheKI/tevr-asr-tool/blob/master/tevr...
That's a custom-designed beam search decoder implemented in C++ and based on the research for my TEVR paper. It increases performance by a relative 16% reduction in word error rate.
polars
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Why Python's Integer Division Floors (2010)
This is because 0.1 is in actuality the floating point value value 0.1000000000000000055511151231257827021181583404541015625, and thus 1 divided by it is ever so slightly smaller than 10. Nevertheless, fpround(1 / fpround(1 / 10)) = 10 exactly.
I found out about this recently because in Polars I defined a // b for floats to be (a / b).floor(), which does return 10 for this computation. Since Python's correctly-rounded division is rather expensive, I chose to stick to this (more context: https://github.com/pola-rs/polars/issues/14596#issuecomment-...).
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Polars
https://github.com/pola-rs/polars/releases/tag/py-0.19.0
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Stuff I Learned during Hanukkah of Data 2023
That turned out to be related to pola-rs/polars#11912, and this linked comment provided a deceptively simple solution - use PARSE_DECLTYPES when creating the connection:
- Polars 0.20 Released
- Segunda linguagem
- Polars: Dataframes powered by a multithreaded query engine, written in Rust
- Summing columns in remote Parquet files using DuckDB
- Polars 0.34 is released. (A query engine focussing on DataFrame front ends)
What are some alternatives?
DeepSpeech - DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
vaex - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
k8deployer - An experimental deployer for kubernetes apps for developers who are too lazy (or busy) to learn Helm.
modin - Modin: Scale your Pandas workflows by changing a single line of code
SLID-on-Microcontrollers - Speech Classification using a Convolutional Neural Network running on a Microcontroller
datafusion - Apache DataFusion SQL Query Engine
Typesense - Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
DataFrames.jl - In-memory tabular data in Julia
MathAnimation - A simple C++/OpenGL application to create quick and dirty mathematically accurate animations
datatable - A Python package for manipulating 2-dimensional tabular data structures
materialize - The data warehouse for operational workloads.
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing