fregu856

autonomous-learning-library

A PyTorch library for building deep reinforcement learning agents.

mahalanobis_3d_multi_object_tracking

[NeurIPS Workshop 2019] Official code of the paper "Probabilistic 3D Multi-Object Tracking for Autonomous Driving." First Place of the First NuScenes Tracking Challenge in the AI Driving Olympics Workshop of NeurIPS.

Trajectron

Code accompanying "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs" by Boris Ivanovic and Marco Pavone.

dl-with-bayes

Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"

pddm

DVRL

Deep Variational Reinforcement Learning

SampleNet

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

slac

Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model

mbpo

Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"

dm_control

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

mbbl

POPLIN

lighttrack

LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking

handful-of-trials

Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

multimodal_varinf

Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".

planet

Learning Latent Dynamics for Planning from Pixels

CalibrationPaper

Repository of NeurIPS 2019 paper "Calibration tests in multi-class classification: A unifying framework"

sysid-neuralnet

Deep neural networks for system identification problems. (WIP)

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

ExtremeNet

Bottom-up Object Detection by Grouping Extreme and Center Points

FreeAnchor

FreeAnchor: Learning to Match Anchors for Visual Object Detection (NeurIPS 2019)

FoveaBox

FoveaBox: Beyond Anchor-based Object Detector

tangent_conv

Tangent Convolutions for Dense Prediction in 3D

Apollo-11

Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.

spconv

Spatial Sparse Convolution Library

second.pytorch

SECOND for KITTI/NuScenes object detection

SparseConvNet

Submanifold sparse convolutional networks

deepo

Setup and customize deep learning environment in seconds.

AB3DMOT

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"