trinh-hoang-hiep's repositories

applied-algorithms

Applied algorithms / HUST / 20192

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BERT-long-sentence-classification

Using BERT for long sentence classification (more than 512 word pieces).

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deepstate

A unit test-like interface for fuzzing and symbolic execution

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EmbedKGQA

ACL 2020: Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings

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fourier-feature-networks

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

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GALD-DGCNet

Source code and models GALD net (BMVC-2019)and Dual-Seg Net (BMVC-2019)

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hifi-gan

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

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High-Performance-Face-Recognition

🔥🔥Several High-Performance Models for Unconstrained/Large-Scale/Low-Shot Face Recognition🔥🔥

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Hybrid-Eloss

This repo contains the eval code for Hybrid-E-loss, which is written by PyTorch code.

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hyperseg

HyperSeg - Official PyTorch Implementation

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ImpSq

Implicit^2: Implicit model for implicit neural representations

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ISWD

Iterative Seed Word Distillation (EMNLP 2019)

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JointIDSF

BERT-based joint intent detection and slot filling with intent-slot attention mechanism

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lifelong-learning

Lifelong Learning of Graph Neural Networks for Open-World Node Classification

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longformer

Longformer: The Long-Document Transformer

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luke

LUKE -- Language Understanding with Knowledge-based Embeddings

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Machine-Learning

Machine Learning

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ml_in_production

A set of demo of deploying a Machine Learning Model in production using various methods

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multihead_joint_entity_relation_extraction

Implementation of our papers Joint entity recognition and relation extraction as a multi-head selection problem (Expert Syst. Appl, 2018) and Adversarial training for multi-context joint entity and relation extraction (EMNLP, 2018).

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quyCVPR19_Incremental_Learning

Learning a Unified Classifier Incrementally via Rebalancing

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seb-server

The Safe Exam Browser Server web application simplifies and centralizes the configuration of SEB clients for exams. It interacts with a learning management or exam system for setting up and conducting e-assessments with Safe Exam Browser. It also improves security by allowing to monitor connected SEB clients in real time during e-assessments.

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seb-win-refactoring

Safe Exam Browser for Windows.

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sentiment-mlp-mixer

Thử nghiệm gần đây mô hình MLP-Mixer trên bài toán nhận diện cảm xúc (Sentiment sentiment analysis)

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Stock-Price-Prediction-using-LSTM-and-Technical-Indicators

In this Jupyter Notebook, I've used LSTM RNN with Technical Indicators namely Simple Moving Average (SMA), Exponential Moving Average (EMA), Moving Average Convergence Divergence (MACD), and Bollinger Bands to predict the price of Bank Nifty.

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test_hello

source code tỏ tình crush

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