richardsun-voyager
Interested in machine(deep) learning and natural language processing.
AstarSingapore
Pinned Repositories
Aspect-Based-Sentiment-Analysis
Aspect-Based Sentiment Analysis Experiments
capsule-network
PyTorch implementation of the paper Dynamic Routing Between Capsules by Sara Sabour, Nicholas Frosst and Geoffrey Hinton
gated_cnn_text
Use CNN to extract features of texts and classify them
inibr
Investigating how RNNs capture ngrams
MachineLearningLecturesNotes
Machine Learning&Deep Learning lecture notes for A-Union students at Udacity
nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
nmt
TensorFlow Neural Machine Translation Tutorial
Preprocessing_Comparison
Compared punctuation and lemmatization's influence
sequence-labeling-tutorial
A sequence labeling model based on LSTM-CRF architecture
UAFTC
Understanding attention for text classification
richardsun-voyager's Repositories
richardsun-voyager/capsule-network
PyTorch implementation of the paper Dynamic Routing Between Capsules by Sara Sabour, Nicholas Frosst and Geoffrey Hinton
richardsun-voyager/gated_cnn_text
Use CNN to extract features of texts and classify them
richardsun-voyager/MachineLearningLecturesNotes
Machine Learning&Deep Learning lecture notes for A-Union students at Udacity
richardsun-voyager/nmt
TensorFlow Neural Machine Translation Tutorial
richardsun-voyager/ray
A high-performance distributed execution engine
richardsun-voyager/RNN_Poem_Generation
Using Recurrent neural network to generate Chinese poems.
richardsun-voyager/TensorFlow-Machine-Learning-Cookbook
Code repository for TensorFlow Machine Learning Cookbook by Packt
richardsun-voyager/CapsNet-Tensorflow
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
richardsun-voyager/ChineseLanguageProcessing
Segment texts in Chinese and Classify them using machine learning methods
richardsun-voyager/Core-ML-Real-time-Classifier-Demo
A real-time classifier demo using Core ML and pre-trained Resnet50 model on iOS 11.
richardsun-voyager/DeepNLP-models-Pytorch
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
richardsun-voyager/DemoForText2word-freq
A Python demo to show how o preprocess and transform texts into words and corresponding frequencies.
richardsun-voyager/dogs_vs_cats
猫狗大战
richardsun-voyager/fastText
Library for fast text representation and classification.
richardsun-voyager/Gated-Convolutional-Networks
A PyTorch implementation of : Language Modeling with Gated Convolutional Networks.
richardsun-voyager/hierarchical-attention-networks
Document classification with Hierarchical Attention Networks in TensorFlow
richardsun-voyager/HierarchicalRNNModels
Re-organize texts into structure of text-sentence-word
richardsun-voyager/lda2vec
richardsun-voyager/LSTM-Classification-Pytorch
Text classification based on LSTM on R8 dataset for pytorch implementation
richardsun-voyager/multi-task-learning
Multi-Task Learning in NLP
richardsun-voyager/multitask_sentiment_analysis
Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587
richardsun-voyager/NeuralMachineTranslationDemo
Train and infer English-German translations through Seq2Seq model
richardsun-voyager/NeuralSum
richardsun-voyager/openai-gym-policy-gradient
Reinforcement Learning using Policy Gradient to solve OpenAI Gym games
richardsun-voyager/paragraph-vectors
A PyTorch implementation of Paragraph Vectors (doc2vec)
richardsun-voyager/ParlAI
A framework for training and evaluating AI models on a variety of openly available dialog datasets.
richardsun-voyager/SelfCriticalSequenceTraining-tensorflow
SelfCriticalSequenceTrainingforImageCaptioning
richardsun-voyager/tensorflow-seq2seq-tutorials
Dynamic seq2seq in TensorFlow, step by step
richardsun-voyager/text-normalization
Text normalization or preprocessing for social media data.
richardsun-voyager/transformer
A TensorFlow Implementation of the Transformer: Attention Is All You Need