Solve NLP problems using Machine learning and Deep learning models
- NumPy
- scikit-learn
- TensorFlow >= 1.2
- matplotlib
- scipy
- gensim
- Python 3.X
- Text classification
- Chatbot
- Neural Machine Translation
- Embedded
- POS-Tagging
- Text Matching
- Summarization
- Basic cell RNN
- Basic cell RNN + Hinge
- Basic cell RNN + Huber
- Basic cell Bidirectional RNN
- Basic cell Bidirectional RNN + Hinge
- Basic cell Bidirectional RNN + Huber
- LSTM cell RNN
- LSTM cell RNN + Hinge
- LSTM cell RNN + Huber
- LSTM cell Bidirectional RNN
- LSTM cell Bidirectional RNN + Huber
- LSTM cell RNN + Dropout + L2
- GRU cell RNN
- GRU cell RNN + Hinge
- GRU cell RNN + Huber
- GRU cell Bidirectional RNN
- GRU cell Bidirectional RNN + Hinge
- GRU cell Bidirectional RNN + Huber
- LSTM RNN + Conv2D
- K-max Conv1d
- LSTM RNN + Conv1D + Highway
- LSTM RNN + Basic Attention
- LSTM Dilated RNN
- Layer-Norm LSTM cell RNN
- Only Attention Neural Network
- Multihead-Attention Neural Network
- Neural Turing Machine
- LSTM Seq2Seq
- LSTM Seq2Seq + Luong Attention
- LSTM Seq2Seq + Bahdanau Attention
- LSTM Seq2Seq + Beam Decoder
- LSTM Bidirectional Seq2Seq
- Pointer Net
- LSTM cell RNN + Bahdanau Attention
- LSTM cell RNN + Luong Attention
- LSTM cell RNN + Stack Bahdanau Luong Attention
- LSTM cell Bidirectional RNN + backward Bahdanau + forward Luong
- Bytenet
- Fast-slow LSTM
- Siamese Network
- LSTM Seq2Seq + tf.estimator
- Capsule layers + RNN LSTM
- Capsule layers + LSTM Seq2Seq
- Capsule layers + LSTM Bidirectional Seq2Seq
- Nested LSTM
- LSTM Seq2Seq + Highway
- Basic cell Seq2Seq-manual
- LSTM Seq2Seq-manual
- GRU Seq2Seq-manual
- Basic cell Seq2Seq-API Greedy
- LSTM Seq2Seq-API Greedy
- GRU Seq2Seq-API Greedy
- Basic cell Bidirectional Seq2Seq-manual
- LSTM Bidirectional Seq2Seq-manual
- GRU Bidirectional Seq2Seq-manual
- Basic cell Bidirectional Seq2Seq-API Greedy
- LSTM Bidirectional Seq2Seq-API Greedy
- GRU Bidirectional Seq2Seq-API Greedy
- Basic cell Seq2Seq-manual + Luong Attention
- LSTM Seq2Seq-manual + Luong Attention
- GRU Seq2Seq-manual + Luong Attention
- Basic cell Seq2Seq-manual + Bahdanau Attention
- LSTM Seq2Seq-manual + Bahdanau Attention
- GRU Seq2Seq-manual + Bahdanau Attention
- LSTM Bidirectional Seq2Seq-manual + Luong Attention
- GRU Bidirectional Seq2Seq-manual + Luong Attention
- LSTM Bidirectional Seq2Seq-manual + Bahdanau Attention
- GRU Bidirectional Seq2Seq-manual + Bahdanau Attention
- LSTM Bidirectional Seq2Seq-manual + backward Bahdanau + forward Luong
- GRU Bidirectional Seq2Seq-manual + backward Bahdanau + forward Luong
- LSTM Seq2Seq-API Greedy + Luong Attention
- GRU Seq2Seq-API Greedy + Luong Attention
- LSTM Seq2Seq-API Greedy + Bahdanau Attention
- GRU Seq2Seq-API Greedy + Bahdanau Attention
- LSTM Seq2Seq-API Beam Decoder
- GRU Seq2Seq-API Beam Decoder
- LSTM Bidirectional Seq2Seq-API + Luong Attention + Beam Decoder
- GRU Bidirectional Seq2Seq-API + Luong Attention + Beam Decoder
- LSTM Bidirectional Seq2Seq-API + backward Bahdanau + forward Luong + Stack Bahdanau Luong Attention + Beam Decoder
- GRU Bidirectional Seq2Seq-API + backward Bahdanau + forward Luong + Stack Bahdanau Luong Attention + Beam Decoder
- Bytenet
- LSTM Seq2Seq + tf.estimator
- Capsule layers + LSTM Seq2Seq-API Greedy
- Capsule layers + LSTM Seq2Seq-API + Luong Attention + Beam Decoder
- Basic cell Seq2Seq-manual
- LSTM Seq2Seq-manual
- GRU Seq2Seq-manual
- Basic cell Seq2Seq-API Greedy
- LSTM Seq2Seq-API Greedy
- GRU Seq2Seq-API Greedy
- Basic cell Bidirectional Seq2Seq-manual
- LSTM Bidirectional Seq2Seq-manual
- GRU Bidirectional Seq2Seq-manual
- Basic cell Bidirectional Seq2Seq-API Greedy
- LSTM Bidirectional Seq2Seq-API Greedy
- GRU Bidirectional Seq2Seq-API Greedy
- Basic cell Seq2Seq-manual + Luong Attention
- LSTM Seq2Seq-manual + Luong Attention
- GRU Seq2Seq-manual + Luong Attention
- Basic cell Seq2Seq-manual + Bahdanau Attention
- LSTM Seq2Seq-manual + Bahdanau Attention
- GRU Seq2Seq-manual + Bahdanau Attention
- LSTM Bidirectional Seq2Seq-manual + Luong Attention
- GRU Bidirectional Seq2Seq-manual + Luong Attention
- LSTM Bidirectional Seq2Seq-manual + Bahdanau Attention
- GRU Bidirectional Seq2Seq-manual + Bahdanau Attention
- LSTM Bidirectional Seq2Seq-manual + backward Bahdanau + forward Luong
- GRU Bidirectional Seq2Seq-manual + backward Bahdanau + forward Luong
- LSTM Seq2Seq-API Greedy + Luong Attention
- GRU Seq2Seq-API Greedy + Luong Attention
- LSTM Seq2Seq-API Greedy + Bahdanau Attention
- GRU Seq2Seq-API Greedy + Bahdanau Attention
- LSTM Seq2Seq-API Beam Decoder
- GRU Seq2Seq-API Beam Decoder
- LSTM Bidirectional Seq2Seq-API + Luong Attention + Beam Decoder
- GRU Bidirectional Seq2Seq-API + Luong Attention + Beam Decoder
- LSTM Bidirectional Seq2Seq-API + backward Bahdanau + forward Luong + Stack Bahdanau Luong Attention + Beam Decoder
- GRU Bidirectional Seq2Seq-API + backward Bahdanau + forward Luong + Stack Bahdanau Luong Attention + Beam Decoder
- Bytenet
- LSTM Seq2Seq + tf.estimator
- Word Vector using CBOW sample softmax
- Word Vector using CBOW noise contrastive estimation
- Word Vector using skipgram sample softmax
- Word Vector using skipgram noise contrastive estimation
- Lda2Vec Tensorflow
- Supervised Embedded
- GRU Bidirectional + CRF
- LSTM Bidirectional + CRF
- LSTM Seq2Seq-manual
- CNN + CRF
- Movielens dataset using Tensorflow
- LSTM Seq2Seq
- LSTM Seq2Seq + Luong Attention
- LSTM Seq2Seq + Beam Decoder
- LSTM Bidirectional + Luong Attention + Beam Decoder