Pinned Repositories
-Exact-Test-Nonparametric-Conditional-Test-For-Clustered-Binary-Data-
Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
autokeras
This is an automated machine learning (AutoML) package.
BayesianlogisticRegression2
Mesh-free-Solution-for-Blackholes-PDE-s
PandasTutorial
PythonMachineLearning
tensorflow
TensorFlow for R
NanaAkwasiAbayieBoateng's Repositories
NanaAkwasiAbayieBoateng/ai-economist
Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).
NanaAkwasiAbayieBoateng/Applied-Deep-Learning
Applied Deep Learning
NanaAkwasiAbayieBoateng/applied-ml-1
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
NanaAkwasiAbayieBoateng/approachingalmost
Approaching (Almost) Any Machine Learning Problem
NanaAkwasiAbayieBoateng/awesome-mlops-1
:sunglasses: A curated list of awesome MLOps tools
NanaAkwasiAbayieBoateng/colorizing
Colorizing Black and White Image using Deep Learning
NanaAkwasiAbayieBoateng/Data-science
Collection of useful data science topics along with code and articles
NanaAkwasiAbayieBoateng/decision-forests
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
NanaAkwasiAbayieBoateng/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
NanaAkwasiAbayieBoateng/Flask-ML-Pipeline_GCP-Tutorial
NanaAkwasiAbayieBoateng/ggdist
Visualizations of distributions and uncertainty
NanaAkwasiAbayieBoateng/GPBoost
Combining tree-boosting with Gaussian process and mixed effects models
NanaAkwasiAbayieBoateng/great_expectations
Always know what to expect from your data.
NanaAkwasiAbayieBoateng/https-github.com-krishnaik06-Car-Price-Prediction
NanaAkwasiAbayieBoateng/Kaggle-Abhishek_Thakur
NanaAkwasiAbayieBoateng/Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
NanaAkwasiAbayieBoateng/keras-vision-app
Starter Pack for creating fast responsive Web App for Keras Image Classification models
NanaAkwasiAbayieBoateng/MLOPs-NLP
NanaAkwasiAbayieBoateng/mlops-on-gcp
NanaAkwasiAbayieBoateng/MLOps-Spark-BigData
NanaAkwasiAbayieBoateng/NLP
NanaAkwasiAbayieBoateng/practical-mlops-book
[Book-2021] Practical MLOps O'Reilly Book
NanaAkwasiAbayieBoateng/pycaret-deployment-aws
Deploy Machine Learning Pipeline on AWS Fargate
NanaAkwasiAbayieBoateng/python-flask-docker
Basic Python Flask app in Docker which prints the hostname and IP of the container
NanaAkwasiAbayieBoateng/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
NanaAkwasiAbayieBoateng/r-docker-tutorial
A docker tutorial for reproducible research
NanaAkwasiAbayieBoateng/resume
resume written in rmarkdown
NanaAkwasiAbayieBoateng/targets
Function-oriented Make-like declarative workflows for R
NanaAkwasiAbayieBoateng/UnderstandingGCNs
NanaAkwasiAbayieBoateng/XBNet
Boosted neural network for tabular data