Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
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Updated
Jun 3, 2024 - Python
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
This repository houses a diverse collection of projects developed using Jupyter Notebooks, focusing on testing various machine learning pipelines, neural network models, and statistical machine learning approaches. Through exploration of different datasets, the projects delve into predictive modeling, classification tasks, and in-depth analyses.
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Simple and flexible classical ML module that can be used for recording baseline ML performance.
Automated Machine Learning on Kubernetes
EvalML is an AutoML library written in python.
Machine Learning Toolbox 2
Developing delivery time estimation model using Neural Networks
Analysis for the Titanic Kaggle ML competition.
Perform Hyperparameter tuning on a small Regression problem using TensorFlow 2
This repository contains the LifeExpectancy Prediction Project, a comprehensive data science project aimed at predicting life expectancy based on various health, economic, and social factors. The project includes steps for data preprocessing, exploratory data analysis (EDA), model selection, training, hyperparameter tuning, and model interpretation
Data Science Project - Full Depth analysis AND Prediction Using Decision Tree and Random Forest
RNN-LSTM: From Applications to Modeling Techniques and Beyond - Systematic Review
Successive Halving and Hyperband in the mlr3 ecosystem
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Iterated Racing for Automatic Algorithm Configuration
Black-box optimization framework for R.
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