This Inventory management system is the currently Ford Asia Pacific after-sales logistics warehousing supply chain process . After I leave Ford , I start this project . You can share your vacant warehouse space, use it for those in need, and generate income
- warehouse-management-system
- wms
- warehouse-management
- inventory
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
[ICLR 2024 Oral] Generative Gaussian Splatting for Efficient 3D Content Creation
A highly efficient implementation of Gaussian Processes in PyTorch
- pytorch
- gaussian-processes
- gpu-acceleration
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
- python
- trading-strategies
- backtesting-trading-strategies
[CVPR19/TPAMI23] SiamMask: A Framework for Fast Online Object Tracking and Segmentation
- visual-tracking
- video-object-segmentation
- read-time
- pytorch
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
- 3d-reconstruction
- depth-prediction
- feature-matching
- global-features
Python Toolkit for Causal and Probabilistic Reasoning
- python
- bayesian-networks
- causal-inference
- causal-discovery
[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
- novel-view-synthesis
- surface-reconstruction
- gaussian-splatting
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
- self-supervised-learning
- unsupervised-learning
- pytorch
- moco
3D高斯论文,持续更新,欢迎交流讨论。
- 3dgs
- 3d-gaussian-splatting
- gaussian-splatting
- novel-view-synthesis
Siamese and triplet networks with online pair/triplet mining in PyTorch
Project Lyra: Open Generative 3D World Models
The repository host gives no description.
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
- pyro
- jax
- hmc
- inference-algorithms
[SIGGRAPH Asia 2026] UniMate: One Unified Model to Animate Diverse Skeletons
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
- image-restoration
- image-deraining
- image-deblurring
- defocus-deblurring
Ray tracing and hybrid rasterization of Gaussian particles
Dual Attention Network for Scene Segmentation (CVPR2019)
A modular active learning framework for Python
The repository host gives no description.
Example code from the book