Pinned Repositories
COMP5328-assignment2-test
Transition matrix estimators
FEDformer-test
LSTM_t1
testing & development for LSTM model
LTSF-Linear
This is the adaptation of official implementation for AAAI-23 paper "Are Transformers Effective for Time Series Forecasting?"
NMT-seq2seq-attention
translation model using RNN + attension
NMT-transformer
Non-Negative-Matrix-factorization---Implemented-in-python
PatchTST_test
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
Quant_Crypto_frok_test
frok from a friend, simple strategy
Stock_models
using various machine learning models to predict stock prices
vincent05r's Repositories
vincent05r/NMT-seq2seq-attention
translation model using RNN + attension
vincent05r/Stock_models
using various machine learning models to predict stock prices
vincent05r/COMP5328-assignment2-test
Transition matrix estimators
vincent05r/FEDformer-test
vincent05r/LSTM_t1
testing & development for LSTM model
vincent05r/LTSF-Linear
This is the adaptation of official implementation for AAAI-23 paper "Are Transformers Effective for Time Series Forecasting?"
vincent05r/NMT-transformer
vincent05r/Non-Negative-Matrix-factorization---Implemented-in-python
vincent05r/PatchTST_test
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
vincent05r/Quant_Crypto_frok_test
frok from a friend, simple strategy
vincent05r/Real-ESRGAN
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
vincent05r/Resnet_T-matrix_label-noise
using a transitional matrix to reduce the impact of label noise in supervised learning.
vincent05r/stable_diffusion_playground
Playing around with stable diffusion. Generated images are reproducible because I save the metadata and latent information. You can generate and then later interpolate between the images of your choice.
vincent05r/Stock_models_transformer
vincent05r/T-Revision
NeurIPS'2019: Are Anchor Points Really Indispensable in Label-Noise Learning?
vincent05r/test_asm1_5328
Testing for COMP5328 assignment 1
vincent05r/dva-exp
Code release for "Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction" https://arxiv.org/abs/2309.00073
vincent05r/EvAC3D
vincent05r/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
vincent05r/PyTorch-GAN-lib
PyTorch implementations of Generative Adversarial Networks.