| onnx/tensorflow-onnx |
2,133 |
|
3 |
64 |
about 2 years ago |
32 |
August 25, 2023 |
163 |
apache-2.0 |
Jupyter Notebook |
| Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX |
| jim-schwoebel/allie |
126 |
|
0 |
0 |
over 2 years ago |
0 |
|
70 |
apache-2.0 |
Python |
| 🤖 An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required. |
| linkedin/Avro2TF |
117 |
|
0 |
0 |
almost 6 years ago |
0 |
|
20 |
other |
Scala |
| Avro2TF is designed to fill the gap of making users' training data ready to be consumed by deep learning training frameworks. |
| CertifaiAI/classifai |
96 |
|
0 |
0 |
over 4 years ago |
0 |
|
16 |
apache-2.0 |
Java |
| :fire: One of the most comprehensive open-source data annotation platform. |
| airctic/icedata |
44 |
|
0 |
0 |
about 4 years ago |
0 |
|
16 |
apache-2.0 |
Python |
| IceData: Datasets Hub for the *IceVision* Framework |
| venkanna37/Label-Pixels |
42 |
|
0 |
0 |
over 3 years ago |
0 |
|
1 |
|
Python |
| Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed for extracting the road network from remote sensing imagery and now, it can be used to extract different features from remote sensing imagery. |
| m-zakeri/iust_deep_fuzz |
39 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
mit |
Python |
| Advanced file format fuzzer based-on deep neural language models. |
| alesolano/npy2ckpt |
30 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
Python |
| Convert deep learning models from .npy format to .ckpt format |
| pipidog/keras_to_tensorflow |
27 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
Python |
| A tutorial on converting your keras models to tensorflow .pb format for inference |
| MedChaabane/deepRAM |
25 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
|
Python |
| End-to-end deep learning toolkit for predicting protein binding sites and motifs. |
