Pinned Repositories
cheapride
CNN-text-classification-keras
Text Classification by Convolutional Neural Network in Keras
DeepTrack2
DeepTrack-2.0
dnb-facerecognition-aivivn
hrv-covid19
COVID-19 and Wearables Open Data Research
KDD2019-HandsOn-Tutorial
KDD 2019 hands-on tutorial
LSTNet
multitask-learning-crops
mutivariate-lstm-regression
self-boosted-ts
litpuvn's Repositories
litpuvn/self-boosted-ts
litpuvn/CNN-text-classification-keras
Text Classification by Convolutional Neural Network in Keras
litpuvn/KDD2019-HandsOn-Tutorial
KDD 2019 hands-on tutorial
litpuvn/02456-deep-learning-with-PyTorch
Exercises and supplementary material for the deep learning course 02456 using PyTorch.
litpuvn/corona19
litpuvn/COVID-19
litpuvn/deep-learning-uncertainty
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
litpuvn/DeepLearningForTimeSeriesForecasting
A tutorial demonstrating how to implement deep learning models for time series forecasting
litpuvn/docbao
Công cụ quét và phân tích từ khóa các trang báo mạng Việt Nam
litpuvn/docbao_crawler
Framework quét dữ liệu trên Internet hỗ trợ render javascript và quét đa nhiệm
litpuvn/dr-jin-my-web
litpuvn/gamtl
Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning
litpuvn/gcn
Implementation of Graph Convolutional Networks in TensorFlow
litpuvn/gcn_tutorial
A tutorial on Graph Convolutional Neural Networks
litpuvn/HNE
Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond
litpuvn/JAME
Joint Autoencoders for Multi-task Network Embedding
litpuvn/KDD19-tutorial
KDD19 Tutorial: From Shallow to Deep Language Representations: Pre-training, Fine-tuning, and Beyond
litpuvn/KDD2019_HetGNN
code of HetGNN
litpuvn/maml
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
litpuvn/Medical-Dialogue-System
litpuvn/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
litpuvn/MOSS-winnowing-seqMatcher
moss implementation in python - checks software codes for plagiarism
litpuvn/Natural-Hazards-Twitter-Dataset
litpuvn/pytorch-classification-uncertainty
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
litpuvn/research.lpca
This project analyzes the results of various models for Link Prediction on Knowledge Graphs using Knowledge Graph Embeddings. It allows to replicate the results in our work "Knowledge Graph Embeddings for Link Prediction: A Comparative Analysis" (https://arxiv.org/abs/2002.00819). Principal contributor: ANDREA ROSSI (https://github.com/AndRossi)
litpuvn/rnn_lstm_from_scratch
How to build RNNs and LSTMs from scratch with NumPy.
litpuvn/STGCN_IJCAI-18
Spatio-Temporal Graph Convolutional Networks
litpuvn/surge-storm-prediction
litpuvn/textbook
The textbook Computational and Inferential Thinking: The Foundations of Data Science
litpuvn/tweet-collector