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Implementation codes of deep generative models with Pixyz
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)
Trajectory Variational Autoencoder baseline for Multi-Agent Behavior challenge 2022
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
Pytorch implementation of FlowTrack (Simple Baselines for Human Pose Estimation and Tracking).
Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.
Bayesian learning and inference for state space models
CNN architecture for articulated human pose estimation
Python package built to ease deep learning on graph, on top of existing DL frameworks.
⏰ AI conference deadline countdowns
Project page for End-to-end Recovery of Human Shape and Pose
Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation
RLgraph: Modular computation graphs for deep reinforcement learning
Keras-based implementation of Relational Graph Convolutional Networks
ROS Wrapper for Intel(R) RealSense(TM) Cameras
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 filte…
Recurrent Neural Network library for Torch7's nn
Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling
alexbw / keras-molecules
Forked from maxhodak/keras-moleculesAutoencoder network for learning a continuous representation of molecular structures.
EagleSense: Tracking People and Devices in Interactive Spaces using Real-Time Top-View Depth-Sensing
Cross-platform ctypes/Cython wrapper to the librealsense library (v1.x)