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3ddfa

The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

analyzer

:chart: Python framework for real-time financial and backtesting trading strategies

arima-emd

automated_hybrid_idh

public repository for "Fully Automated Hybrid Network to Predict IDH Mutation Status of Glioma via Deep Learning and Radiomics"

backtester

This is a backtester writting in C.

backtrader

Python Backtesting library for trading strategies

cadl-i-finalpoject

My Final project for the Creative Applications of Deep Learning with Google's Tensorflow | Parag K. Mital | Kadenze, Inc.

deslib

A Python library for dynamic classifier and ensemble selection. Note that this repository is just a fork. The original repository is hosted on scikit-learn-contrib: https://github.com/scikit-learn-contrib/DESlib

dsatools

Digital signal analysis library for python. The library includes such methods of signal analysis and signal parameter estimation as arma-based techniques; subspace-based techniques; matrix-pencil-based methods; singular-spectrum analysis (SSA); dynamic-mode decomposition (DMD); empirical mode decomposition; variational mode decomposition; empirical wavelet transform; Hilbert vibration decomposition and many others.

elm

Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

elm-1

emd-alstm-multi-factor-stock-profit-prediction

Multi-Factor Stock Profit Prediction Using EMD-ALSTM

emd-pso-ann

硕士毕业论文

esrgan

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

ewtpy

Empirical wavelet transform (EWT) in Python

extreme-learning-machine-and-its-variants

The project aims at working on Tensorflow and non-tensorflow implementation of stacked Extreme Learning Machine(ELM) with ELM Autoencoder and PCA

extreme_learning_machines-for-hypertension-

This is my final year project on prediction of Hypertension using Extreme Learning Machines On Heterogenous Dataset

financialfunctionsinc

A collection of useful financial functions/libraries needed by finance professionals.

fuzzy-genetic-hybrid-recommender-system

fuzzy-genetic-recommender-system

Using Hybrid Fuzzy logic and Genetic Algorithms to build a faster and accurate recommender system.

gan-pix2pix-keras

This is a simple Keras implementations of GAN model-pix2pix. I implemented this model for color normalization on histopathoplogical image.

gdl_code

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

hybrid-arima-lstm-model

A financial model to forecast next day SPY closing prices

hybrid-random-forest-linear-model

Heart disease prediction using normal models and hybrid random forest linear model (HRFLM)

hybrid_intrusion_detection_classifier

image-enhancement

image-super-resolution

Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

image-to-painting

incremental-knn-svm

Hybrid KNN and SVM based incremental learning for image classification