Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Data Science Ipython Notebooks | 25,668 | 7 months ago | 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. | ||||||||||
T81_558_deep_learning | 5,590 | 6 months ago | 3 | other | Jupyter Notebook | |||||
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis | ||||||||||
Textgenrnn | 4,426 | 14 | 2 | 3 years ago | 14 | February 02, 2020 | 122 | other | Python | |
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code. | ||||||||||
Deep Learning Keras Tensorflow | 2,863 | 3 years ago | 12 | mit | Jupyter Notebook | |||||
Introduction to Deep Neural Networks with Keras and Tensorflow | ||||||||||
Keras Vis | 2,592 | 28 | 1 | 4 years ago | 11 | July 06, 2017 | 104 | mit | Python | |
Neural network visualization toolkit for keras | ||||||||||
Spektral | 2,317 | 6 | 4 months ago | 34 | June 01, 2023 | 67 | mit | Python | ||
Graph Neural Networks with Keras and Tensorflow 2. | ||||||||||
Invoicenet | 2,297 | 6 months ago | 62 | mit | Python | |||||
Deep neural network to extract intelligent information from invoice documents. | ||||||||||
Hackingneuralnetworks | 2,215 | 4 years ago | mit | Python | ||||||
A small course on exploiting and defending neural networks | ||||||||||
Keras Textclassification | 1,641 | 6 months ago | 9 | December 19, 2020 | 1 | mit | Python | |||
中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN | ||||||||||
Machine Learning Experiments | 1,552 | 5 months ago | 7 | mit | Jupyter Notebook | |||||
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo |