Row 76177

Row ID: 76177 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 76177 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

Hello all, I am a student at Stanford University, I was on a gap year due to medical conditions and to utilitze my time I was studying deep learning.

And Voila...

I've developed a deep learning library, [**DeepFusion**](https://github.com/atharvaaalok/deepfusion)!

It's customizable and has an easily accessible and highly intuitive codebase. One can just dive right in and effortlessly understand the source code.

You can download it from:

* github at [https://github.com/atharvaaalok/deepfusion](https://github.com/atharvaaalok/deepfusion) * or install using `pip install deepfusion` (easy!)

For a series of examples explaining the usage and features refer [demo](https://github.com/atharvaaalok/deepfusion/tree/main/demo) or [tutorials](https://github.com/atharvaaalok/deepfusion-examples).

https://preview.redd.it/ywjz0ygiqb2d1.png?width=464&format=png&auto=webp&s=4aeb79f871e70d41f4fe561b5540e36eda06ca94

FieldValue
text Hello all, I am a student at Stanford University, I was on a gap year due to medical conditions and to utilitze my time I was studying deep learning. And Voila... I've developed a deep learning library, [**DeepFusion**](https://github.com/atharvaaalok/deepfusion)! It's customizable and has an easily accessible and highly intuitive codebase. One can just dive right in and effortlessly understand the source code. You can download it from: * github at [https://github.com/atharvaaalok/deepfusio…
label r/deeplearning
dataType post
communityName r/deeplearning
datetime 2024-05-24
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Raw Record

{
  "text": "Hello all, I am a student at Stanford University, I was on a gap year due to medical conditions and to utilitze my time I was studying deep learning.\n\nAnd Voila...\n\nI've developed a deep learning library, [**DeepFusion**](https://github.com/atharvaaalok/deepfusion)!\n\nIt's customizable and has an easily accessible and highly intuitive codebase. One can just dive right in and effortlessly understand the source code.\n\nYou can download it from:\n\n* github at [https://github.com/atharvaaalok/deepfusion](https://github.com/atharvaaalok/deepfusion)\n* or install using `pip install deepfusion` (easy!)\n\nFor a series of examples explaining the usage and features refer [demo](https://github.com/atharvaaalok/deepfusion/tree/main/demo) or [tutorials](https://github.com/atharvaaalok/deepfusion-examples).\n\nhttps://preview.redd.it/ywjz0ygiqb2d1.png?width=464&format=png&auto=webp&s=4aeb79f871e70d41f4fe561b5540e36eda06ca94\n\n",
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