madvn
CV/AI + Robotics @ Path Robotics | Ph.D. Cognitive Science, Indiana University, Bloomington, 2020.
Columbus, OH, U.S.A.
madvn's Stars
freeCodeCamp/devdocs
API Documentation Browser
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
reHackable/awesome-reMarkable
A curated list of projects related to the reMarkable tablet
google-deepmind/dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
openai/mujoco-py
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
IntelLabs/coach
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
uber-research/deep-neuroevolution
Deep Neuroevolution
kmammou/v-hacd
Automatically exported from code.google.com/p/v-hacd
tpaviot/pythonocc-core
Python package for 3D geometry CAD/BIM/CAM
Evidlo/remarkable_mouse
use your reMarkable as a graphics tablet
mlcommons/algorithmic-efficiency
MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.
stevenpjg/ddpg-aigym
Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments
martisak/dotnets
Create simple drawings of neural networks using graphviz
adafruit/Adafruit_CircuitPython_ADS1x15
CircuitPython drivers for the ADS1x15 series of ADCs.
Hintzelab/MABE
Modular Agent Based Evolution Framework
madvn/CTRNN
Python package that implements Continuous Time Recurrent Neural Networks (CTRNNs)
dragly/hello-remarkable
A simple hello-world application for the reMarkable based on the Qt Tablet example
rajcscw/pytorch-optimize
A simple black-box optimization framework to train your pytorch models for optimizing non-differentiable objectives
madvn/stochsearch
Stochastic search algorithms using python multiprocessing