| nivu/ai_all_resources |
647 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| A curated list of Best Artificial Intelligence Resources |
| bansalkanav/Machine_Learning_and_Deep_Learning |
492 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
gpl-3.0 |
Jupyter Notebook |
| bruckner/deepViz |
275 |
|
0 |
0 |
almost 12 years ago |
0 |
|
10 |
|
JavaScript |
| Visualization tools for deep convolutional networks |
| lijqhs/deeplearning-notes |
194 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
mit |
|
| Notes for Deep Learning Specialization Courses led by Andrew Ng. |
| csinva/gan-vae-pretrained-pytorch |
148 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch. |
| csinva/hierarchical-dnn-interpretations |
119 |
|
0 |
0 |
over 4 years ago |
7 |
September 24, 2020 |
2 |
mit |
Jupyter Notebook |
| Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019) |
| p-koo/learning_sequence_motifs |
15 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Python |
| "Representation Learning of Genomic Sequence Motifs with Convolutional Neural Networks" by Peter K. Koo and Sean R. Eddy |
| juliagusak/flopco-pytorch |
13 |
|
0 |
0 |
almost 5 years ago |
0 |
|
1 |
mit |
Python |
| FLOPs and other statistics COunter for Pytorch neural networks |
| CharlieJCJ/Tencent-Spark-Program-Tutorial |
5 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
|
Python |
