tommyngx

Data Science Researcher

Australia

Pinned Repositories

AM-MobileNet1D
Speaker Identification - AM MobileNet (Fine-Tuning)
Language:Python1 2 10
B2Unet
Language:Python1 1 00
FasterRCNN
Clean and readable implementations of Faster R-CNN in PyTorch and TensorFlow 2 with Keras.
Language:Python1 0 01
gain_data
GAIN Missing Data Imputation
Language:Python3 2 01
GAN_RNN_TS
Missing values distribution
Language:Jupyter Notebook2 2 00
hand_words
MNIST Deployment - Practise with Tensorflow Js
Language:Jupyter Notebook2 2 01
mask_detection
Mask detection
Language:Jupyter Notebook1 2 01
Multi_TimeGAN
Multivariate Time Series Imputation with Generative Adversarial Networks
Language:Python101
SolarGAN
Multivariate Solar Data Imputation Using Generative Adversarial Network
Language:Python6 2 01
yolov7-GradCAM
Implementing GradCAM visualization
Language:Jupyter Notebook19 1 23

tommyngx's Repositories

tommyngx/B2Unet
Language:Python1 1 00
tommyngx/FasterRCNN
Clean and readable implementations of Faster R-CNN in PyTorch and TensorFlow 2 with Keras.
Language:Python1 0 01
tommyngx/TommyNgx
It is me! Tommy Ngx
1 2 0
tommyngx/AUTOSurv
tommyngx/Co-DETR
[ICCV 2023] DETRs with Collaborative Hybrid Assignments Training
tommyngx/detr_101
Language:Python
tommyngx/ECE2csv
Language:Python
tommyngx/EVA
Exploring the Limits of Masked Visual Representation Learning at Scale (https://arxiv.org/abs/2211.07636)
tommyngx/Faster-RCNN-pytorch-refork
A simplified implemention of Faster R-CNN that replicate performance from origin paper
Language:Jupyter Notebook
tommyngx/Faster_RCNN_torch
Language:Python1 0
tommyngx/fasterrcnn101
PyTorch Faster R-CNN
Language:Python
tommyngx/framingham-ms
Framingham data progressive unidirectional multi-state model using four states: No disease, Hypertension, Cardiovascular disease, and Death (absorbing).
Language:HTML
tommyngx/GeePeeTee_forMac
tommyngx/intersect
Language:Jupyter Notebook
tommyngx/intro-to-multiomics
Workshop on multiomic analysis methods
tommyngx/knee_OA_dl_app
Web app to predict knee osteoarthritis grade using Deep Learning and Streamlit
tommyngx/kora
selenium
Language:Python
tommyngx/Mammary
Language:Python1 0
tommyngx/MEGANet
An implementation of MEGANet for polyp segmentation with multi-scale edge-guided attention
tommyngx/omidb
Language:Python
tommyngx/pysurvival
Open source package for Survival Analysis modeling
Language:HTML
tommyngx/PyTorch_Faster_RCNN_ResNet50_FPN_V2
Language:Python2 0
tommyngx/Segformer_voc2012
Language:Python
tommyngx/SpeedyRecs
Speedy Recs is an anime recommender system devolped in RStudio using UBCF, IBCF, SVD, ALS, and a hybrid model.
tommyngx/survival_analysis
tommyngx/survival_analysis_learning
Language:Jupyter Notebook
tommyngx/unet-tgs-salt-pytorch
Language:Python
tommyngx/Untrained-PINN-for-SIM
Untrained, physics-informed neural network for SIM image reconstruction
Language:Jupyter Notebook0 0
tommyngx/xray-image-preprocessing-skimage
Language:Jupyter Notebook
tommyngx/YUHS-VERTE-X
We propose a deep learning method for detecting prevalent vertebral factrures and osteoporosis on X-ray images: given an X-ray input image and clinical variables(Age, Sex, BMI), our model provides the risk scores of diseases.