Pinned Repositories
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠Amazon SageMaker.
BabyRobot
A Baby Robot's Guide to Reinforcement Learning
Course_AWS_Certified_Machine_Learning
datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
dtu_mlops
Exercises and supplementary material for the machine learning operations course at DTU.
flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Medium
NLP-Experiments
Tensorflow-Educational-Notebooks
Traffic-Light-for-Life
amirhossini's Repositories
amirhossini/NLP-Experiments
amirhossini/Tensorflow-Educational-Notebooks
amirhossini/Medium
amirhossini/Traffic-Light-for-Life
amirhossini/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠Amazon SageMaker.
amirhossini/BabyRobot
A Baby Robot's Guide to Reinforcement Learning
amirhossini/Course_AWS_Certified_Machine_Learning
amirhossini/datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
amirhossini/dtu_mlops
Exercises and supplementary material for the machine learning operations course at DTU.
amirhossini/flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
amirhossini/mlflow
Open source platform for the machine learning lifecycle
amirhossini/mlops-churn_model
amirhossini/MLOPS-DeepLearningAI
Public repo for DeepLearning.AI MLEP Specialization
amirhossini/mlops-zoomcamp
Free MLOps course from DataTalks.Club
amirhossini/multi-domain-goal-oriented-dialogues-dataset
Data from the publication "Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data"
amirhossini/neural_prophet
NeuralProphet: A simple forecasting package
amirhossini/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms for time series data :wavy_dash:.
amirhossini/OpenPrompt
An Open-Source Toolkit for Prompt-Learning.
amirhossini/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
amirhossini/pycaret
An open-source, low-code machine learning library in Python
amirhossini/Pyomo-Educational-Notebooks
amirhossini/Python-3-Object-Oriented-Programming-Second-Edition
Published by Packt
amirhossini/qr_forcaster
Our implementation of the paper "A Multi-Horizon Quantile Recurrent Forecaster"
amirhossini/TimeSeriesForecasting
amirhossini/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
amirhossini/WholesaleElectrPricePredict
This is a set of python codes that forecast electricity price in wholesale power markets using an integrated long-term recurrent convolutional network (Integrated LRCN) model: day-ahead price prediction and hour-ahead price prediction. This work is under the open license: CC BY 4.0.