Popular GitHub Repositories for Voxel51

A resource repository for 3D machine learning

Probabilistic language based on pattern matching and constraint propagation, 153 examples

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]

[CVPR 2024 Highlight] XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

[ICLR 2023] "More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity"; [ICML 2023] "Are Large Kernels Better Teachers than Transformers for ConvNets?"

We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.

Sketch-Based 3D Exploration with Stacked Generative Adversarial Networks

Video Platform for Action Recognition and Object Detection in Pytorch

A pytorch tutorial for DRL(Deep Reinforcement Learning)

Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.

Research platform for 3D object detection in PyTorch.

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis Transform)

Tutorials on computer vision with PyTorch and FiftyOne

C51-DDQN in Keras

DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN

A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar.

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.