uguremrah

uguremrah's Stars

• uguremrah/keras

  Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

  Language:Python1

• uguremrah/aima-python

  Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

  1

• uguremrah/gym

  A toolkit for developing and comparing reinforcement learning algorithms.

  1

• uguremrah/machine-learning-for-trading

  Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading

  1

• uguremrah/UDRL

  Language:Jupyter Notebook1

• uguremrah/qc-tutorial

  Quantum Computing Tutorial

  Language:Jupyter Notebook1

• uguremrah/Papers-Literature-ML-DL-RL-AI

  Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

  1

• uguremrah/AI-Feynman

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• uguremrah/modin

  Modin: Speed up your Pandas workflows by changing a single line of code

  1

• RoboEden/jux

  JUX is a JAX-accelerated engine for Lux AI Challenge 2022.

  Language:Jupyter Notebook1911

• CQCL/pytket-docs

  User manual and example notebooks for the pytket quantum SDK

  Language:Shell32892

• ahmedfgad/GeneticAlgorithmPython

  Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

  Language:Python1.8k456

• neuraloperator/neuraloperator

  Learning in infinite dimension with neural operators.

  Language:Python2k531

• awslabs/gluonts

  Probabilistic time series modeling in Python

  Language:Python4.5k746

• jxx123/fireTS

  A python multi-variate time series prediction library working with sklearn

  Language:Python9035

• modin-project/modin

  Modin: Scale your Pandas workflows by changing a single line of code

  Language:Python9.7k649

• SJ001/AI-Feynman

  Language:Python626188

• google-research/google-research

  Google Research

  Language:Jupyter Notebook33.8k7.8k

• stefan-jansen/machine-learning-for-trading

  Code for Machine Learning for Algorithmic Trading, 2nd edition.

  Language:Jupyter Notebook12.8k4.1k

• BY571/Upside-Down-Reinforcement-Learning

  Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.

  Language:Jupyter Notebook7610

• parthchadha/upsideDownRL

  Implementation of "Training Agents using Upside-Down Reinforcement Learning (https://arxiv.org/pdf/1912.02877.pdf)"

  Language:Python165