NYU-DLSP20
ML-Workspace
| NYU-DLSP20 | ML-Workspace | |
|---|---|---|
| 2 | 7 | |
| 6,627 | 3,329 | |
| - | 0.6% | |
| 6.1 | 2.7 | |
| 3 months ago | 6 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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NYU-DLSP20
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A collection of some of the best PyTorch courses for beginners to learn PyTorch online
And of course our NYU DL course 😉 https://github.com/Atcold/pytorch-Deep-Learning
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Week 6 practicum notebook
I am going through week 6 practicum notebook. Can someone shed some light on the following code in train method:
ML-Workspace
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[D] I recently quit my job to start a ML company. Would really appreciate feedback on what we're working on.
Also check out: https://github.com/ml-tooling/ml-workspace, it a nice open source project with lots of packages ready to use.
- ML-Workspace
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Coding for machine learning on Tab S8?
The other option - no reason why you couldn't host something on the desktop machine - web based IDE like R-Studio or Python - have a look at ml-workspace - https://github.com/ml-tooling/ml-workspace that runs in Docker and would provide interfaces for both Python and R, VSCode as well as a GPU accelerated variant for doing Tensorflow etc - either Windows or Linux can support Docker containers (Linux is less trouble apparently - I only have played with it in Linux personally)
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Dynamically spin up VM (based on specific HTTPS request) and stop it once session is over?
It will be a web based IDE dev kit (like Jupyter Hub, or JupyterLab) if you are familiar with them)
- All-in-One Docker Based IDE for Data Science and ML
- Visual Studio Code now available as Web based editor for GitHub repos
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[P] Install or update CUDA, NVIDIA Drivers, Pytorch, Tensorflow, and CuDNN with a single command: Lambda Stack
I'll stick with https://github.com/ml-tooling/ml-workspace, is a docker with all tools installed, also the option of using GPU, so I think is better than only for debian. This way anyone can use it.
What are some alternatives?
webdataset - A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
JupyterLab - JupyterLab computational environment.
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
Gitpod - DEPRECATED since Gitpod 0.5.0; use https://github.com/gitpod-io/gitpod/tree/master/chart and https://github.com/gitpod-io/gitpod/tree/master/install/helm
nlp-class - A Natural Language Processing course taught by Professor Ghassemi
keytotext - Keywords to Sentences
bitcoin_price_prediction - This project tries to prediction the bitcoin price with machine and deep learning.
self-hosted - Sentry, feature-complete and packaged up for low-volume deployments and proofs-of-concept
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Code-Server - VS Code in the browser
dl-colab-notebooks - Try out deep learning models online on Google Colab
cocalc-docker - DEPRECATED (was -- Docker setup for running CoCalc as downloadable software on your own computer)