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3d-shapes

This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of the 35th International Conference on Machine Learning (ICML). 2018. to assess the disentanglement properties of unsupervised learning methods.

3d_cnn_tensorflow

KITTI data processing and 3D CNN for Vehicle Detection

3dobjecttracking

Official Code: A Sparse Gaussian Approach to Region-Based 6DoF Object Tracking

3dod_thesis

3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.

aa-aegd

This repository is the implementation of Anderson acceleration for "adaptive gradient descent with energy" (AEGD).

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

acer

Actor-critic with experience replay

adaptive-inertia-adai

The PyTorch Implementation of Adaptive Inertia Methods. The algorithms are based on our ICML2022 Oral paper: "Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum".

adaptiveqlearning

aegd

Adaptive gradient descent with energy

ai-economist

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

ai-imu-dr

AI-IMU Dead-Reckoning

ai2thor

An open-source platform for Visual AI.

apo

Reproducing the paper: Average-Reward Reinforcement Learning with Trust Region Methods

asa

Code for paper "Adversarial Support Alignment"

atari-representation-learning

Code for "Unsupervised State Representation Learning in Atari"

autonomous_exploration_development_environment

Leveraging system development and robot deployment for ground-based autonomous navigation and exploration.

autorom

Install Atari ROMs for Gym/ALE-Py in 2 Commands

awesome-cv

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

awesome-latex-drawing

Drawing Bayesian networks, graphical models, tensors, and technical frameworks and illustrations in LaTeX.

awesome-rl-for-cybersecurity

A curated list of resources dedicated to reinforcement learning applied to cyber security.

blenderproc

A procedural Blender pipeline for photorealistic training image generation

brain-inspired-replay

A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).

cadrl_ros

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

cart-pole-playground

Exploring RL techniques with CartPole from the OpenAI Gym

cassie-trajectory-editor

MuJoCo trajectory editor for walking robots

chatpaper

Use ChatGPT to summary the Arxiv papers.

cic

CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery

clsurvey

Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase of "A continual learning survey: Defying forgetting in classification tasks." in IEEE TPAMI.

club

Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information