A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
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A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
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
Probabilistic reasoning and statistical analysis in TensorFlow
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 curated list of automated machine learning papers, articles, tutorials, slides and projects
Современный учебник JavaScript
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
Train, inspect, edit, automate, and export 3D Gaussian Splatting scenes from a single native application.
A highly efficient implementation of Gaussian Processes in PyTorch
:musical_keyboard: Making life easy to create a MIDI-app on the web. Includes a library to program synesthesia into your app for memory recognition or for creating trippy effects. Convert soundfonts for Guitar, Bass, Drums, ect. into code that can be read by the browser. Supports multiple simultaneous instruments and perfect timing.
SOFARPC is a high-performance, high-extensibility, production-level Java RPC framework.
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).
:sparkles: An advanced 3D Gaussian Splatting renderer for THREE.js
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)
a list of domains and ips that stay live in russia when the mobile internet gets restricted
The repository host gives no description.
Bayesian optimization in PyTorch
Robotics Toolbox for Python
[SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer
[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering