gchal Goto Github PK
Name: Georgia
Type: User
Company: IAS group TU Darmstadt
Location: Darmstadt, Germany
Blog: https://gchal.github.io/
Name: Georgia
Type: User
Company: IAS group TU Darmstadt
Location: Darmstadt, Germany
Blog: https://gchal.github.io/
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.
Bayesian Neural Network in PyTorch
Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
Code for "Deep Orientaton Uncertainty Learning based on a Bingham Loss" (ICLR2020)
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Task-based end-to-end model learning in stochastic optimization
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
LSTM for detecting risk-of-fall instances of human walking for mobile robot platforms
Must-read papers on graph neural networks (GNN)
A toolkit for developing and comparing reinforcement learning algorithms.
Large Scale Virtualized Interactive Environments for Robot Learning
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Model Predictive Actor-Critic Reinforcement Learning
Python implementations of several robotic motion planners
A fast and differentiable model predictive control (MPC) solver for PyTorch.
Python library for Reinforcement Learning experiments.
Orientation Attentive Robot Grasp Synthesis
PDDLStream: Integrating Symbolic Planners and Blackbox Samplers
A suite of utility functions to facilitate robotic planning related research on the pybullet physics simulation engine.
Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"
A system for parallel and distributed Python that unifies the ML ecosystem.
A large-scale benchmark and learning environment.
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.