| nl8590687/ASRT_SpeechRecognition |
7,253 |
|
0 |
0 |
about 2 years ago |
1 |
October 23, 2020 |
101 |
gpl-3.0 |
Python |
| A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统 |
| Conchylicultor/DeepQA |
2,878 |
|
0 |
0 |
over 3 years ago |
0 |
|
95 |
apache-2.0 |
Python |
| My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot |
| endymecy/awesome-deeplearning-resources |
2,739 |
|
0 |
0 |
about 2 years ago |
0 |
|
2 |
mit |
|
| Deep Learning and deep reinforcement learning research papers and some codes |
| philipperemy/tensorflow-1.4-billion-password-analysis |
1,657 |
|
0 |
0 |
almost 5 years ago |
0 |
|
8 |
|
Python |
| Deep Learning model to analyze a large corpus of clear text passwords. |
| inspirehep/magpie |
574 |
|
0 |
0 |
about 6 years ago |
0 |
|
47 |
mit |
Python |
| Deep neural network framework for multi-label text classification |
| rkcosmos/deepcut |
319 |
|
7 |
3 |
over 5 years ago |
30 |
November 06, 2019 |
0 |
mit |
Python |
| A Thai word tokenization library using Deep Neural Network |
| lujiaying/MovieTaster-Open |
241 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
other |
Python |
| A practical movie recommend project based on Item2vec. |
| devmount/GermanWordEmbeddings |
224 |
|
0 |
0 |
almost 3 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets |
| CGCL-codes/naturalcc |
220 |
|
0 |
0 |
over 2 years ago |
0 |
|
13 |
mit |
Python |
| NaturalCC: An Open-Source Toolkit for Code Intelligence |
| zhongkaifu/Seq2SeqSharp |
188 |
|
0 |
3 |
over 2 years ago |
1 |
May 09, 2022 |
6 |
other |
C# |
| Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM), multimodal model for text and images and so on. |
