ltdzung's starred repositories
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
PlotNeuralNet
Latex code for making neural networks diagrams
ultimate-python
Ultimate Python study guide :snake: :snake: :snake:
x-transformers
A concise but complete full-attention transformer with a set of promising experimental features from various papers
deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
annotated_research_papers
This repo contains annotated research papers that I found really good and useful
awesome-deep-text-detection-recognition
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
Best_AI_paper_2020
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
PyTorch_YOLOv4
PyTorch implementation of YOLOv4
hopfield-layers
Hopfield Networks is All You Need
CascadeTabNet
This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
SparseR-CNN
[CVPR2021, PAMI2023] End-to-End Object Detection with Learnable Proposal
Self-Correction-Human-Parsing
An out-of-box human parsing representation extractor.
DeepPurpose
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch
Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)
Transformer_STR
PyTorch implementation of my new method for Scene Text Recognition (STR) based on Transformer,Equipped with Transformer, this method outperforms the best model of the aforementioned deep-text-recognition-benchmark by 7.6% on CUTE80.
colorfilters
Image thresholding in multiple colorspaces.
low-resource-text-classification-framework
Research framework for low resource text classification that allows the user to experiment with classification models and active learning strategies on a large number of sentence classification datasets, and to simulate real-world scenarios. The framework is easily expandable to new classification models, active learning strategies and datasets.
multitasking_transformers
Multitask Learning with Pretrained Transformers
icd_prediction
Predicting Medical Billing Codes (ICD9) from Clinical Notes (in MIMIC-III datasets) using Deep Learning
Anchoring_clinicalBERT_NER
An anchoring approach to Medical Information Extraction using Clinical BERT Embeddings