sematic
spokestack-python
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| sematic | spokestack-python | |
|---|---|---|
| 4 | 7 | |
| 941 | 132 | |
| 1.0% | - | |
| 9.0 | 3.3 | |
| 10 days ago | over 2 years ago | |
| Python | Python | |
| 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.
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.
sematic
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This Week In Python
sematic – open-source ML pipeline development platform
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What is “production” Machine Learning?
Check us out at sematic.dev, star us on Github, and join us on Discord to discuss production ML.
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Sematic – an open-source ML pipelining tool built by ex-Cruise engineers
Hi all – We are a team of ex ML Infra engineers at Cruise (self-driving cars) and we spent the last few months building Sematic.
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Build on AWS Weekly - S1 E5 - Containers Containers Everywhere
Sematic, an open-source development toolkit for AI/ML: https://github.com/sematic-ai/sematic
spokestack-python
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We're making it super easy to use voice in Python, and we want your feedback!
Our AutoML service will let you [redacted because we're not ready to say it publicly yet], using your own voice. Combining [redacted] with existing open-source SDK libraries & tutorials for [Python](https://github.com/spokestack/spokestack-python) allows you to utilize cutting-edge personalized voice technology.
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Sunday Daily Thread: What's everyone working on this week?
I’ve been working on this project for a while now. I’m really interested to discover if other developers want to add voice to their python projects.
I’ll be working on integrating spokestack into home-assistant
- Spokestack: Python Library for Voice Applications
- Spokestack: Embedded Voice Library for Python
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I love home assistant and I work on TTS in my day job. Should I do an add-on or an integration?
Ok so that’s my main concern. It seems like for distribution an integration is the way to go. Library is this for better context.
- Python Embedded Voice Library
What are some alternatives?
aqueduct - Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.
picovoice - On-device voice assistant platform powered by deep learning
airy - 💬 Open Source App Framework to build streaming apps with real-time data - 💎 Build real-time data pipelines and make real-time data universally accessible - 🤖 Join historical and real-time data in the stream to create smarter ML and AI applications. - ⚡ Standardize complex data ingestion and stream data to apps with pre-built connectors
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
django-prose - Wonderful rich-text editing for your Django project
Porcupine - On-device wake word detection powered by deep learning
clamshell - experimenting with a python based shell
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
python-functown - Helper library for Azure Function programming
Caffe2
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!