Pulkit-Khandelwal / Reinforcement-Learning-NotebooksLinks
A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.
☆1,044Updated 7 years ago
Alternatives and similar repositories for Reinforcement-Learning-Notebooks
Users that are interested in Reinforcement-Learning-Notebooks are comparing it to the libraries listed below
Sorting:
- Organized & Useful Resources about Deep Learning with TensorFlow☆21Updated 4 years ago
- Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.☆1,826Updated 2 years ago
- Various tutorials given for welcoming new students at MILA.☆985Updated 7 years ago
- TensorFlow Reinforcement Learning☆3,135Updated 2 years ago
- Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)☆1,016Updated 6 years ago
- Notes for Fastai Deep Learning Course☆1,125Updated 4 months ago
- Monthly Series - Top 10 Machine Learning Articles☆508Updated 5 years ago
- Growing the code out of your notebooks - the right way.☆528Updated 2 years ago
- Boltzmann Machines in TensorFlow with examples☆848Updated 3 years ago
- A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017☆886Updated 7 years ago
- Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyda…☆1,368Updated last year
- A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.☆1,265Updated 7 years ago
- Demo of running NNs across different frameworks☆1,652Updated 2 years ago
- Efficient Batched Reinforcement Learning in TensorFlow☆968Updated 6 years ago
- [DEPRECATED] Compilation of pre-trained deep learning models with demos and code.☆359Updated 6 years ago
- A collection of video resources for machine learning☆1,547Updated 4 years ago
- Deep Learning Workshop : Including a VirtualBox VM with pre-configured Jupyter, Tensorflow, PyTorch, models and data☆474Updated 6 years ago
- Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog☆620Updated 2 years ago
- AI projects☆843Updated 5 months ago
- Deep Neuroevolution☆1,652Updated last year
- Notes/links on math and science, including statistics, bayes, cmpsc, quant trading, machine learning, etc☆521Updated 4 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,112Updated 7 years ago
- A tiny lib with pocket-sized implementations of machine learning models in NumPy, most of which will fit in a tweet.☆566Updated 2 years ago
- Jupyter Tips, Tricks, Best Practices with Sample Code for Productivity Boost☆421Updated 6 years ago
- Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"☆366Updated 2 years ago
- Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conferen…☆276Updated 5 years ago
- ☆317Updated 7 years ago
- Essential Guide to keep up with AI/ML/DL/CV☆1,050Updated 5 months ago
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,799Updated 4 years ago
- Learn about Machine Learning and Artificial Intelligence☆917Updated 3 years ago