akhanss
Research Engineer
Kim Jaechul Graduate School of Artificial Intelligence, KAISTDaejeon, South Korea.
akhanss's Stars
NVIDIA/DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
borisbanushev/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
PacktPublishing/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
alvarobartt/investpy
Financial Data Extraction from Investing.com with Python
albarqouni/Deep-Learning-for-Medical-Applications
Deep Learning Papers on Medical Image Analysis
jjbrophy47/machine_unlearning
Existing Literature about Machine Unlearning
tamlhp/awesome-machine-unlearning
Awesome Machine Unlearning (A Survey of Machine Unlearning)
mateuszbuda/brain-segmentation-pytorch
U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI
Albert-Z-Guo/Deep-Reinforcement-Stock-Trading
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
richard-peng-xia/awesome-multimodal-in-medical-imaging
A collection of resources on applications of multi-modal learning in medical imaging.
yu4u/age-estimation-pytorch
PyTorch-based CNN implementation for estimating age from face images
facioquo/stock-indicators-python
Stock Indicators for Python. Maintained by @LeeDongGeon1996
thepycoach/fifa-world-cup-2022-prediction
aruancaf/stock-trading-bot
do not take this seriously, please.
BexTuychiev/tricking-data-science
A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
alvarobartt/pyrtfolio
Python package to generate stock portfolios
cosmic-cortex/pytorch-UNet
2D and 3D UNet implementation in PyTorch.
stke9/SliceGAN
charlesdong1991/StockInsider
A Python tool to collect, analyze and visualize trading indicators for stocks
xpwu95/LDL
Pytorch implementation of "Joint Acne Image Grading and Counting via Label Distribution Learning"
AlkaSaliss/DEmoClassi
DEmoClassi stands for Demographic (age, gender, race) and Emotions (happy, sad, angry, ...) Classification from face images, using deep learning.
veugene/data_tools
High performance data loading, preprocessing, or preparation for deep learning.
alexbie98/fedavg
PyTorch implementation of federated learning on MNIST
cvg/hololens_ros
gimme1dollar/gradcam_consistency_semi_sup
Semi-supervised learning with Grad-CAM consistency regularization
kyugorithm/TIL
Today I Learned . 내가 학습한 것들은 모두 문서로 남기고 다시 확인해볼 예정이다.
sonhamin/FedUV
(CVPR 2024) Uniformity and Variance for Heterogeneous Federated Learning
TonyAssi/ImageRegression
Image Regression Model Trainer. Built with PyTorch and 🤗.
SoumyadeepB/Machine-Learning
Collection of Machine Learning algorithms implemented in Matlab/Python