forbes110 / PLEDGE--Paragraph-LEvel-image-Description-GEneration
Apply an end-to-end model structure (ViT + GPT) to describe images in more detail, rather than traditional image captioning that only provides object detections or a few simple sentences.
☆11Updated 4 months ago
Alternatives and similar repositories for PLEDGE--Paragraph-LEvel-image-Description-GEneration
Users that are interested in PLEDGE--Paragraph-LEvel-image-Description-GEneration are comparing it to the libraries listed below
Sorting:
- TrustAi website☆12Updated 8 months ago
- Optimal Planning for NTU YouBike Assignment with Operation Research and Machine Learning Techniques☆10Updated 8 months ago
- Apply pre-trained models to help quickly grasp investment news, including three tasks, 1. summarizationm 2. sentiment analysis 3. domain …☆13Updated 8 months ago
- Unofficial Implementation of paper "On Entropy Approximation for Gaussian Mixture Random Vectors" in python☆25Updated 8 months ago
- Python 金融市場賺大錢聖經:寫出你的專屬指標 - 進階技術補充☆14Updated 3 years ago
- Latex Workshop (2024 Spring)☆11Updated 6 months ago
- Textless (ASR-transcript free) Spoken Question Answering. The official release of NMSQA dataset and the implementation of "DUAL: Textless…☆35Updated last year
- Python 金融市場賺大錢聖經:寫出你的專屬指標☆68Updated 2 months ago
- I created some notebooks about different concepts of financial engineering☆10Updated 2 months ago
- ☆18Updated 4 years ago
- ☆10Updated 3 months ago
- Neural Networks to predict stock price☆39Updated 4 years ago
- ☆13Updated 2 years ago
- Homework of Applied Deep Learning (ADL Lectured by Yun-Nung Chen at NTU)☆7Updated 3 years ago
- Cantonese Selfish Project 廣東話自肥企劃 at PYCON HK 2021☆15Updated 3 years ago
- Stock Prediction usning Transformer NN☆81Updated 6 years ago
- Applied Deep Learning (2021 Spring) at National Taiwan University (NTU) CSIE☆9Updated 3 years ago
- GiMeFive: Towards Interpretable Facial Emotion Classification 😄😲😭😡🤢😨 (PyTorch Implementation)☆16Updated 10 months ago
- ☆12Updated last year
- In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US s…☆54Updated 4 years ago
- BEST SCORE ON KAGGLE SO FAR. Mean Square Error after repeated tuning 0.00032. Used stacked GRU + LSTM layers with optimized architecture,…☆69Updated 6 years ago
- We apply from rule-based approach to BERT for a sentiment analysis task on financial texts.☆12Updated 3 years ago
- The offical code of "Parameter-Efficient Learning for Text-to-Speech Accent Adaptation"☆13Updated last year
- ☆14Updated last year
- ResNLS: An Improved Model for Stock Price Forecasting☆17Updated last month
- Implementation of seq2seq with attention in keras☆114Updated 5 years ago
- stock prediction with GAN and WGAN☆97Updated 2 years ago
- Documentation☆284Updated last year
- A version of the Temporal Fusion Transformer in TF2 that is lightweight, utilizes Keras layers, and ultimately readable and modifiable.☆13Updated 9 months ago
- Code and Data for M3A: Multimodal Multi-speaker Mergers & Acquisitions at ACL-IJCNLP 2021 (main)☆16Updated 3 years ago