Deep_meme_clustering
A deep convolutional neural network pipeline for unsupervised meme clustering
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Jina | 19,573 |  | 16 | 5 months ago | 2,453 | December 01, 2023 | 19 | apache-2.0 | Python | |
| ☁️ Build multimodal AI applications with cloud-native stack | ||||||||||
| Stanza | 6,931 |  | 2 | 91 | 5 months ago | 22 | December 03, 2023 | 83 | other | Python |
| Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages | ||||||||||
| Neural Pipeline | 314 | 4 years ago | 19 | February 12, 2019 | 29 | mit | Python | |||
| Neural networks training pipeline based on PyTorch | ||||||||||
| Pytorch_tempest | 193 | 8 months ago | 5 | mit | Python | |||||
| My repo for training neural nets using pytorch-lightning and hydra | ||||||||||
| Stanfordnlp | 101 |  | 14 | 11 | 10 months ago | 5 | May 16, 2019 | 2 | other | Python |
| [Deprecated] This library has been renamed to "Stanza". Latest development at: https://github.com/stanfordnlp/stanza | ||||||||||
| Rankqa | 79 | 3 years ago | 2 | Python | ||||||
| This is the PyTorch implementation of the ACL 2019 paper RankQA: Neural Question Answering with Answer Re-Ranking. | ||||||||||
| 3d Dl | 38 | 2 years ago | 2 | mit | Python | |||||
| Synthetic dataset generation for object-to-model deep learning | ||||||||||
| Cifar 10 | 32 | 3 years ago | 5 | May 08, 2021 | mit | PHP | ||||
| Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things. | ||||||||||
| Readmission Risk | 26 | 3 years ago | apache-2.0 | Jupyter Notebook | ||||||
| 30-day patient readmission model, developed in collaboration with Sutter Health. | ||||||||||
| Stock Prediction | 24 | 6 years ago | 2 | gpl-3.0 | Python | |||||
| Machine learning pipeline for training TensorFlow models to forecast stock prices. Written in Python. | ||||||||||
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