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ZeroModels
Open-source Keras 3 collection of pretrained models.
ZeroModels is a collection of pretrained models built entirely in Keras 3. It spans a broad range of tasks, including image classification, object detection, segmentation, monocular depth estimation, feature extraction, vision-language modeling (VLMs), speech recognition, speech-aware language modeling, text encoding and masked language modeling, large language models (LLMs), text-to-text encoder-decoder modeling, multimodal vision-language generation, and more.
Hi, I’m Gitesh, the creator of ZeroModels.
ZeroModels started as a small side project because I wanted modern pretrained models in Keras without being locked into a single backend. It has since grown into an open-source model ecosystem covering 100+ architectures across LLMs, vision, VLMs, speech, detection, segmentation, depth estimation, and more.
The core idea is simple: write your model code once in Keras 3 and run it on JAX, PyTorch, or TensorFlow.
ZeroModels also handles pretrained weight loading, Hugging Face checkpoint conversion, numerical parity validation, and native INT8, INT4, and FP8 weight-only quantization.
I’ve been building and maintaining it largely solo, and there’s still a lot I want to improve.
I’d especially love feedback from ML engineers and researchers:
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About ZeroModels on Product Hunt
“Open-source Keras 3 collection of pretrained models.”
ZeroModels was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #160 on the daily leaderboard. ZeroModels is a collection of pretrained models built entirely in Keras 3. It spans a broad range of tasks, including image classification, object detection, segmentation, monocular depth estimation, feature extraction, vision-language modeling (VLMs), speech recognition, speech-aware language modeling, text encoding and masked language modeling, large language models (LLMs), text-to-text encoder-decoder modeling, multimodal vision-language generation, and more.
ZeroModels was featured in Developer Tools (518.9k followers), Artificial Intelligence (477.9k followers), GitHub (41.4k followers) and Tech (631.8k followers) on Product Hunt. Together, these topics include over 398.5k products, making this a competitive space to launch in.
Who hunted ZeroModels?
ZeroModels was hunted by Gitesh Chawda. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Gitesh Chawda