Ask HN: Computer Vision Project Ideas?

• open_clip

  27 8,391 8.4 Jupyter Notebook

  An open source implementation of CLIP.

  

What sort of compute do you get access to? There's a lot of cool stuff you could depending on whether or not you have decent GPU's and for how much time you're allowed to experiment on them. Experimentation is fairly fundamental in practice.

There are a lot of pretraining tasks in vision/multimodal that are cool. Largely techniques introduced or refined by OpenAI re-implemented as pytorch open source codebases with varying degrees of success:

- Finetune your own CLIP https://github.com/mlfoundations/open_clip

• DALLE-pytorch

  20 5,492 2.5 Python

  Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

- "Discrete VAE", used as the backbone for OpenAI's DALL-E, reimplimented here (and other places) https://github.com/lucidrains/DALLE-pytorch (code for training a discrete VAE)

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• taming-transformers

  35 5,354 0.0 Jupyter Notebook

  Taming Transformers for High-Resolution Image Synthesis

  

• dalle-lightning

  1 60 1.8 Python

  Refactoring dalle-pytorch and taming-transformers for TPU VM

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