mvoodarla

7 ms·

31.
Sieve (YC W22) Is hiring ML engineers to build AI video models(sievedata.com)
1 points by mvoodarla 3y ago
32.
AI active speaker detection on video with a 90% speedup(sievedata.com)
3 points by mvoodarla 3y ago|0 comments
33.
Masked Audio Generation Using a Single Non-Autoregressive Transformer(pages.cs.huji.ac.il)
1 points by mvoodarla 3y ago|0 comments
34.
Masked Audio Generation Using a Single Non-Autoregressive Transformer(arxiv.org)
1 points by mvoodarla 3y ago|0 comments
35.
Sieve (YC W22), the video/audio AI cloud, is hiring ML infrastructure engineers(sievedata.com)
1 points by mvoodarla 3y ago
36.
The most cost-effective audio transcription API(sievedata.com)
3 points by mvoodarla 3y ago|0 comments
37.
Audiobox Demo: Where anyone can make a sound with an idea(audiobox.metademolab.com)
3 points by mvoodarla 3y ago|0 comments
38.
Sieve (YC W22), video/audio AI cloud, is hiring systems engineers(sievedata.com)
1 points by mvoodarla 3y ago
39.
Audiobox: Generating audio from voice and natural language prompts(ai.meta.com)
3 points by mvoodarla 3y ago|1 comments
40.
Improving on open-source for fast, high-quality AI lipsyncing(sievedata.com)
2 points by mvoodarla 3y ago|0 comments
41.
Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning(twitter.com)
3 points by mvoodarla 3y ago|0 comments
42.
Sieve (YC W22), a video/audio AI cloud, is hiring AI/product engineers(sievedata.com)
1 points by mvoodarla 3y ago
43.
Sieve (YC W22), a video/audio AI cloud, is hiring AI engineers(sievedata.com)
1 points by mvoodarla 3y ago
44.
Show HN: State of the art audio enhance (open source AudioSR and DeepFilterNet)(sievedata.com)
8 points by mvoodarla 3y ago|1 comments
45.
DA-Clip: Controlling Vision-Language Models for Universal Image Restoration(twitter.com)
1 points by mvoodarla 3y ago|0 comments
46.
Sieve (YC W22), the video/audio AI cloud, is hiring systems engineers(sievedata.com)
1 points by mvoodarla 3y ago
47.
Voicebox: The first generative AI model for speech to generalize across tasks(ai.facebook.com)
7 points by mvoodarla 3y ago|2 comments
48.
DINOv2: State-of-the-art computer vision models with self-supervised learning(dinov2.metademolab.com)
176 points by mvoodarla 4y ago|16 comments
49.
Sieve (YC W22) is hiring hackers to build AI infrastructure for video(sievedata.com)
1 points by mvoodarla 4y ago
50.
Sieve (YC W22) Is Building AI Infrastructure for Video
1 points by mvoodarla 4y ago
51.
by mvoodarla 4y ago
What was the orchestration system used for? Was it in the case where there were many models that needed to be run one after another. I know it's a huge problem in video processing to be able to increase speed a ton. My company Sieve (s
52.
Sieve (YC W22) is building plug-and-play APIs for video AI(sievedata.com)
1 points by mvoodarla 4y ago
53.
by mvoodarla 4y ago
Yeah sorry about that! We'll add that soon.
54.
Show HN: TrackObject – Drag-and-drop computer vision object tracking(trackobject.xyz)
23 points by mvoodarla 4y ago|3 comments
55.
Sieve (YC W22) is building AI infra for video data, come join us(sievedata.com)
1 points by mvoodarla 4y ago
56.
by mvoodarla 4y ago
This looks really cool. Are there ways to orchestrate jobs? Like having one notebooks output trigger another based on some logic? I'm imagining running a bunch of different deep learning models on separate notebooks, or running the sam
57.
Sieve (YC W22) is building the MongoDB for video, come join us(sievedata.com)
1 points by mvoodarla 4y ago
58.
Pix2Seq: A New Language Interface for Object Detection(ai.googleblog.com)
1 points by mvoodarla 4y ago|0 comments
59.
Ask HN: Building vision systems without knowing ML?
1 points by mvoodarla 5y ago|0 comments
60.
by mvoodarla 5y ago
It's a good point. While Microsoft and Google offer video processing / analysis, none of them are API-first in the same way we are. 1. We process videos, and can store their metadata / embeddings in perpetuity. This means a s

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