Alternatives and similar repositories for Reinforcement_Lerning

Users that are interested in Reinforcement_Lerning are comparing it to the libraries listed below

• ttchengab / VAE
  ☆12Updated 3 years ago
• bishwarup307 / async-ml-medium
  Collection of python scripts to demonstrate asynchronous programming in python
  ☆11Updated 3 years ago
• DmitryBorisenko / ensemble_tutorial
  ☆14Updated 5 years ago
• anbento0490 / tutorials
  ☆21Updated 2 years ago
• christy / AnyscaleDemos
  ☆23Updated 2 years ago
• gauravsdeshmukh / ChemGCN
  ChemGCN is a graph convolutional network to predict water solubilities of small molecules.
  ☆25Updated last year
• giotto-ai / the-shape-of-chemical-functions
  ☆12Updated 5 years ago
• PacktPublishing / Fundamentals-of-Machine-Learning-with-scikit-learn
  Fundamentals of Machine Learning with Scikit-Learn
  ☆16Updated 4 years ago
• Ifeoluwa-hub / Heart-Failure-Prediction-and-Deployment-with-Flask-and-Heroku
  Cardiovascular diseases are the number 1 cause of death globally, taking an estimated 17.9 million lives each year, which accounts for 31…
  ☆13Updated 4 years ago
• MoleculeTransformers / smiles-featurizers
  Extract Molecular SMILES embeddings from language models pre-trained with various objectives architectures.
  ☆18Updated 2 years ago
• KacperKubara / ml-cookbook
  Machine learning notebooks and code used for demonstration purposes
  ☆24Updated 4 years ago
• mabalam / feature_selection
  ☆25Updated 3 years ago
• ncfrey / pumml
  Positive and Unlabeled Materials Machine Learning (pumml) is a code that uses semi-supervised machine learning to classify materials from…
  ☆37Updated last year
• RobertCsordas / molecule_gen
  Implementation of "Learning Deep Generative Models"
  ☆12Updated 6 years ago
• rug / reinforcement-learning
  A Gentle Principled Introduction to Deep Reinforcement Learning
  ☆19Updated 7 months ago
• nrflynn2 / ml-drug-discovery
  The official repository for the book "Machine Learning for Drug Discovery" (Manning Publications)
  ☆55Updated last week
• mkosaka1 / AirPassengers_TimeSeries
  Demonstrating the efficiency of pmdarima’s auto_arima() function compared to implementing a traditional ARIMA model.
  ☆12Updated 4 years ago
• matthewdeng / ray-train-demos
  Demos using Ray Train
  ☆12Updated 3 years ago
• olsson-group / RL-GraphINVENT
  RL-GraphINVENT is a platform for graph-based targeted molecular generation using graph neural networks and reinforcement learning. RL-Gra…
  ☆78Updated 2 years ago
• lightingghost / chemopt
  Optimizing Chemical Reactions with Deep Reinforcement Learning
  ☆118Updated 4 years ago
• david10e10 / High-Dim-TS-Medium
  Deep Learning for High-Dimensional Time Series
  ☆22Updated 6 years ago
• druce / iowa
  Iowa House Prices Kaggle (top 5%)
  ☆15Updated last year
• amunategui / CVAE-Financial-Anomaly-Detection
  ☆24Updated 7 years ago
• stellargraph / stellar-practical-ml-on-graphs
  Course titled Practical Machine Learning on Graphs
  ☆45Updated 5 years ago
• aksub99 / MolDQN-pytorch
  A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".
  ☆81Updated 2 years ago
• amitpatyal / Color-Detection
  Color detection beginner data science project
  ☆13Updated 4 years ago
• Hvass-Labs / Optimization-Papers
  Archive of my older research papers on optimization
  ☆10Updated 4 years ago
• aksub99 / molecular-vae
  Pytorch implementation of the paper "Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules"
  ☆67Updated 4 years ago
• napoles-uach / streamlit_apps
  For Streamlit Share proyects
  ☆22Updated 3 years ago
• aws-samples / aws-analytics-immersion-day
  Describes the concepts of lambda architecture and the actual deployment process with an example of building a serverless business intelli…
  ☆15Updated 5 months ago