| aymericdamien/TensorFlow-Examples |
43,109 |
|
0 |
0 |
about 2 years ago |
0 |
|
218 |
other |
Jupyter Notebook |
| TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2) |
| donnemartin/data-science-ipython-notebooks |
25,668 |
|
0 |
0 |
over 2 years ago |
0 |
|
34 |
other |
Python |
| Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. |
| rasbt/deeplearning-models |
16,142 |
|
0 |
0 |
about 2 years ago |
0 |
|
4 |
mit |
Jupyter Notebook |
| A collection of various deep learning architectures, models, and tips |
| transcranial/keras-js |
4,879 |
|
31 |
8 |
almost 4 years ago |
7 |
February 09, 2018 |
83 |
mit |
JavaScript |
| Run Keras models in the browser, with GPU support using WebGL |
| naturomics/CapsNet-Tensorflow |
3,678 |
|
0 |
0 |
over 7 years ago |
0 |
|
28 |
apache-2.0 |
Python |
| A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules |
| hwalsuklee/tensorflow-generative-model-collections |
3,570 |
|
0 |
0 |
over 7 years ago |
0 |
|
22 |
apache-2.0 |
Python |
| Collection of generative models in Tensorflow |
| NELSONZHAO/zhihu |
3,228 |
|
0 |
0 |
almost 5 years ago |
0 |
|
31 |
|
Jupyter Notebook |
| This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code. |
| leriomaggio/deep-learning-keras-tensorflow |
2,863 |
|
0 |
0 |
over 4 years ago |
0 |
|
12 |
mit |
Jupyter Notebook |
| Introduction to Deep Neural Networks with Keras and Tensorflow |
| tensorflow/lingvo |
2,776 |
|
0 |
0 |
about 2 years ago |
0 |
|
133 |
apache-2.0 |
Python |
| Lingvo |
| determined-ai/determined |
2,715 |
|
0 |
1 |
about 2 years ago |
221 |
April 24, 2021 |
142 |
apache-2.0 |
Go |
| Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow. |
