Julen Urain's repositories

grasp_diffusion

Pytorch implementation of diffusion models on Lie Groups for 6D grasp pose generation https://sites.google.com/view/se3dif/home

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LieFlows

Pytorch implementation of Stable Vector Fields on Lie Groups through Diffeomorphism

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mesh_to_sdf

Calculate signed distance fields for arbitrary meshes

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DALLE2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

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diffeqpy

Solving differential equations in Python using DifferentialEquations.jl

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EB_GFN

Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"

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ibc

A PyTorch implementation of Implicit Behavioral Cloning by Florence et al.

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manifold-flow

Manifold-modeling flows (MFMFs)

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manim

Animation engine for explanatory math videos

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mctx

Monte Carlo tree search in JAX

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mesh-fusion

Python tool for obtaining watertight meshes using TSDF fusion.

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model_based_planning_ebm

Preliminary code of paper: Model Based Planning with Energy Based Models

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mopac

Model Predictive Actor-Critic Reinforcement Learning

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mushroom-rl

Python library for Reinforcement Learning.

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normalizing_flows

Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

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occupancy_networks

This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"

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Pose-Estimation-for-Sensor-Calibration

hand-eye calibration, tool-flange calibration

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pytorch_kinematics

Robot kinematics implemented in pytorch

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RLBench

A large-scale benchmark and learning environment.

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sds

A toolbox for inference of switching systems for control

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sequential_flows

Code for sequential flows.

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stable_dynamics

Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)

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TheCamusean.github.io

Blog for auto-learning

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torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

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