TensorFlow2.0_Notebooks
aiqc
Our great sponsors
| TensorFlow2.0_Notebooks | aiqc | |
|---|---|---|
| 1 | 7 | |
| 37 | 102 | |
| - | - | |
| 0.0 | 4.9 | |
| about 3 years ago | 9 months ago | |
| Jupyter Notebook | Python | |
| MIT License | BSD 3-clause "New" or "Revised" License |
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TensorFlow2.0_Notebooks
aiqc
- AIQC: End-to-end deep learning on your desktop or server
-
Prediction Algorithm
Please ⭐ on https://github.com/aiqc/aiqc
-
[D] How do you manage Data Science experiments?
https://github.com/aiqc/AIQC Helps prepare data and tune params for keras and pytorch. Stupid easy and reproducible.
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Why do practitioners still use regular tensorflow? [D]
Here are examples of how to do keras, tf, or pytorch in a parameterized queue. https://github.com/aiqc/aiqc
- AIQC seeking contributors to bring deep learning to open science.
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[P] AIQC (deep learning framework) is now seeking collaborators.
AIQC is now open to collaborators! Link to low hanging fruit GitHub issues.
- Show HN: Framework for local, reproducible, batched deep learning for research
What are some alternatives?
mmcv - OpenMMLab Computer Vision Foundation
Time-Series-Forecasting-Using-LSTM - Time-Series Forecasting on Stock Prices using LSTM
guildai - Experiment tracking, ML developer tools
ai-art-generator - For automating the creation of large batches of AI-generated artwork locally.
cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network
strv-ml-mask2face - Virtually remove a face mask to see what a person looks like underneath
TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos
Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
Network-Intrusion-Detection-Using-Machine-Learning - A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
docs - TensorFlow documentation
deepsvg - [NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.