Pinned Repositories
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
ActiveLearningFrameworkTutorial
An active learning framework, using interchangeable algorithms and sample selection functions, including experimental results on a toy data-set.
adb-essentials-demos
ADB Essentials Demos used in the webinars
AdventureWorks-Dashboard
Primer Dashboard PowerBI
awesome-deep-learning-papers
The most cited deep learning papers
bounceR
Automated Feature Selection
cheatsheets
RStudio Cheat Sheets
Data-Science-Python
Data Science with python
vhcg77's Repositories
vhcg77/awesome-deep-learning-papers
The most cited deep learning papers
vhcg77/Autoencoder-Tensorflow
Autoencoer in Tensorflow with most of the basic functionalities and options for training. Multiple models can be handled and trained at the same time.
vhcg77/automated-feature-engineering
Automated feature engineering in Python with feature tools
vhcg77/Automated-Manual-Comparison
Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
vhcg77/awesome-capsule-networks
A curated list of awesome resources related to capsule networks
vhcg77/awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
vhcg77/bindsnet
Simulation of spiking neural networks (SNNs) using PyTorch.
vhcg77/DALI
A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications
vhcg77/darts
Differentiable architecture search for convolutional and recurrent networks
vhcg77/Data-Analysis-using-R
In this , I have used statistical models like linear regression, multivariate regression, k-means techniques, time series analysis. I will be uploading more.
vhcg77/feature-selector
Development and implementation of the feature selector
vhcg77/go-ethereum
Official Go implementation of the Ethereum protocol
vhcg77/h2o-3
Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)
vhcg77/kepler.gl
vhcg77/keras
Deep Learning for humans
vhcg77/learnopencv
Learn OpenCV : C++ and Python Examples
vhcg77/mlflow
Open source platform for the complete machine learning lifecycle
vhcg77/mne-features
MNE-Features software for extracting features from multivariate time series
vhcg77/model-analysis
Model analysis tools for TensorFlow
vhcg77/models
Models and examples built with TensorFlow
vhcg77/MVApp
Glittery data analysis and multi-variate analysis for all kinds of beautiful, big and small data sets. But remember - rubbish in = rubbish out!
vhcg77/Netron
Visualizer for deep learning and machine learning models
vhcg77/nmt
TensorFlow Neural Machine Translation Tutorial
vhcg77/NRI
Neural relational inference for interacting systems - pytorch
vhcg77/RMDL
RMDL: Random Multimodel Deep Learning for Classification
vhcg77/skorch
A scikit-learn compatible neural network library that wraps pytorch
vhcg77/SLM-Lab
Modular Deep Reinforcement Learning framework in PyTorch.
vhcg77/telemanom
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
vhcg77/UNet-model-for-Segmentation
A transfer learning approach for segmenting images using U-Net model
vhcg77/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow