Row 74840
Content Data
This page contains data entry 74840 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/l9ci1453ei2d1.png?width=464&format=png&auto=webp&s=96250193b39dc5042618f26ba525b4ced5b030e7
| Field | Value |
|---|---|
| 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/machinelearning |
| dataType | post |
| communityName | r/MachineLearning |
| 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/l9ci1453ei2d1.png?width=464&format=png&auto=webp&s=96250193b39dc5042618f26ba525b4ced5b030e7\n\n",
"label": "r/machinelearning",
"dataType": "post",
"communityName": "r/MachineLearning",
"datetime": "2024-05-24",
"username_encoded": "Z0FBQUFBQm5Lak1ocGRNZjBnS3E2NURRWWk2Z0ozRDZCVzdPaTBKZ2FJWFpycVIyVXA2T3JDZkw2ZDE3QmdKRExwZ01JUkY0QXgxYmk2TUItdWhNS3ROcnpZRk9YSGRrWGc9PQ==",
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}
Entry Information
- Entry ID: 74840
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000