Aff Wild Models
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Pytorch Kaldi | 2,138 | 2 years ago | 24 | Python | ||||||
| pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit. | ||||||||||
| Captcha_break | 1,677 | 4 years ago | 36 | mit | Jupyter Notebook | |||||
| 验证码识别 | ||||||||||
| Nlp Models Tensorflow | 1,329 | 4 years ago | 3 | mit | Jupyter Notebook | |||||
| Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0 | ||||||||||
| Cryptocurrencyprediction | 715 | a year ago | 11 | mit | Jupyter Notebook | |||||
| Predict Cryptocurrency Price with Deep Learning | ||||||||||
| Eeg Dl | 563 | a year ago | 10 | May 13, 2020 | 4 | mit | Python | |||
| A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow. | ||||||||||
| Nmt Keras | 514 | 3 years ago | 4 | mit | Python | |||||
| Neural Machine Translation with Keras | ||||||||||
| Seq2seq | 502 | 4 years ago | 11 | mit | Python | |||||
| Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch | ||||||||||
| Baiduyun_deeplearning_competition | 363 | 7 years ago | 1 | mit | Jupyter Notebook | |||||
| 百度云魅族深度学习应用大赛 | ||||||||||
| Easy Deep Learning With Keras | 336 | 4 years ago | Jupyter Notebook | |||||||
| Keras tutorial for beginners (using TF backend) | ||||||||||
| Haste | 298 | a year ago | 11 | apache-2.0 | C++ | |||||
| Haste: a fast, simple, and open RNN library | ||||||||||
Alternatives To Aff Wild ModelsSelect To Compare
Alternative Project Comparisons
Popular Deep Learning Projects
Popular Gru Projects
Popular Machine Learning Categories
Get A Weekly Email With Trending Projects For These Categories
No Spam. Unsubscribe easily at any time.
Python
Deep Learning
Gru