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Top 23 Python Real-time Projects
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darkflow
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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FairMOT
[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
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TensorFlowTTS
:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)
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vidgear
A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire:
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InfluxDB
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llm-app
LLM App templates for RAG, knowledge mining, and stream analytics. Ready to run with Docker,⚡in sync with your data sources.
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lightweight-human-pose-estimation.pytorch
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
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yolact_edge
The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.
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DegiroAPI
An unofficial API for the trading platform Degiro, with the ability to get real time data and historical data
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SaaSHub
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Hey HN, has anyone found a viable solution for doing this locally and offline on iOS? I'd like to offer a privacy-friendly text to speech feature to my App, and Apple's speech synthesis sounds awful compared to some newer models and TTS engines. The only thing I've found is an older TensorflowTTS example here: https://github.com/TensorSpeech/TensorFlowTTS/tree/master/examples/ios
Any pointers or tips appreciated.
My experience that played out over the last few weeks lead me to a similar belief, somewhat. For rather uninteresting reasons I decided I wanted to create mp4 videos of an animation programmatically, from scratch.
The first solution suggested when googling around is to just create all the frames, save them to disk, and then let ffmpeg do its thing from there. I would have just gone with that for a one-off task, but it seems like a pretty bad solution if the video is long, or high res, or both. Plus, what I really wanted was to build something more "scalable/flexible".
Maybe I didn't know the right keywords to search for, but there really didn't seem to be many options for creating frames, piping them straight to an encoder, and writing just the final video file to disk. The only one I found that seemed like it could maybe do it the way I had in mind was VidGear[1] (Python). I had figured that with the popularity of streaming, and video in general on the web, there would be so much more tooling for these sorts of things.
I ended up digging way deeper into this than I had intended, and built myself something on top of Membrane[2] (Elixir)
[1] https://abhitronix.github.io/vidgear/
Answering queries and defining alerts: Our application running on Pathway LLM-App exposes the HTTP REST API endpoint to send queries and receive real-time responses. It is used by the Streamlit UI app. Queries are answered by looking up relevant documents in the index, as in the Retrieval-augmented generation (RAG) implementation. Next, queries are categorized for intent: an LLM probes them for natural language commands synonymous with notify or send an alert.
Project mention: example-hftish: NEW Extended Research - star count:604.0 | /r/algoprojects | 2023-05-27
Project mention: Data visualisation and ray tracing in Python based on OptiX framework | news.ycombinator.com | 2023-07-05
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
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A note from our sponsor - InfluxDB
www.influxdata.com | 26 Apr 2024
Index
What are some of the best open-source Real-time projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | BackgroundMattingV2 | 6,653 |
| 2 | darkflow | 6,126 |
| 3 | yolact | 4,924 |
| 4 | ByteTrack | 4,230 |
| 5 | FairMOT | 3,926 |
| 6 | TensorFlowTTS | 3,697 |
| 7 | vidgear | 3,190 |
| 8 | llm-app | 2,479 |
| 9 | AutobahnPython | 2,463 |
| 10 | lightweight-human-pose-estimation.pytorch | 2,021 |
| 11 | YOLOv3_TensorFlow | 1,547 |
| 12 | yolact_edge | 1,245 |
| 13 | Streamz | 1,217 |
| 14 | FastMOT | 1,095 |
| 15 | trt_pose | 921 |
| 16 | EGVSR | 881 |
| 17 | diart | 789 |
| 18 | example-hftish | 719 |
| 19 | TouchDesigner_Shared | 714 |
| 20 | taichi-nerfs | 701 |
| 21 | reactor | 613 |
| 22 | plotoptix | 474 |
| 23 | DegiroAPI | 214 |
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