Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

3D高斯论文，持续更新，欢迎交流讨论。

3DGS-to-PC: Convert a 3D Gaussian splatting scene into a dense point cloud or basic mesh with advanced customisation options and high-accuracy rendered point colours

[SIGGRAPH Asia 2024] V^3: Viewing Volumetric Videos on Mobiles via Streamable 2D Dynamic Gaussians

PyTorch implementation of "Reference-based Image Super-Resolution with Deformable Attention Transformer (ECCV2022)"

Server-driven Video Streaming for Deep Learning Inference

Robust Speech Recognition via Large-Scale Weak Supervision

A Distributed Camera System for Inference Scheduling and Continuous Learning in Video Analytics

H.264 video Region of Interest encoding tool, using x264

FedSTIL: Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges. (TCSVT'23)

Mixture density network implemented in PyTorch.

ACM MULTIMEDIA 2022 Grand Challenge

Video Quality Metrics

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

Unofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"

jemdoc with MathJax support and more

In this repository you will find TinyML course syllabi, assignments/labs, code walkthroughs, links to student projects, and lecture videos (where applicable).

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

Mean Average Precision for Object Detection

Systems and Networking related Video research published in major venues of Computer Science.

pytorch structural similarity (SSIM) loss

Perceptual video quality assessment based on multi-method fusion.

Embedded and mobile deep learning research resources

MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging the gap between current ML training and serving systems.

Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving

A light & simple & responsive page for academic websites on Hexo, crafted from academicpages on Jekyll.

A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019