Row 76745

Row ID: 76745 | Dataset Entry | Axioma AXP Content Repository

Content Data

This page contains data entry 76745 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).

Any and all suggestions are welcome, and contributions are greatly appreciated!

https://preview.redd.it/7sawthhj3c2d1.png?width=464&format=png&auto=webp&s=bb0b4671d2b1118d2d10250f2b221d511c5716fe

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…
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communityName r/neuralnetworks
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\nAny and all suggestions are welcome, and contributions are greatly appreciated!\n\nhttps://preview.redd.it/7sawthhj3c2d1.png?width=464&format=png&auto=webp&s=bb0b4671d2b1118d2d10250f2b221d511c5716fe\n\n",
  "label": "r/neuralnetworks",
  "dataType": "post",
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  "datetime": "2024-05-24",
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