Yucao42's repositories
ARC-AGI
The Abstraction and Reasoning Corpus
kserve
Standardized Serverless ML Inference Platform on Kubernetes
tracking_wo_bnw
Implementation of "Tracking without bells and whistles” and the multi-object tracking "Tracktor"
libtorch-yolov3
A Libtorch implementation of the YOLO v3 object detection algorithm
caffe_cpp
caffe cpp application
detr
End-to-End Object Detection with Transformers
vim_env
In convenience of vim environment setting.
triton-inference-server
The Triton Inference Server provides a cloud inferencing solution optimized for NVIDIA GPUs.
timely-dataflow
A modular implementation of timely dataflow in Rust
detectron2
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
toy_mps
Check how MPS works
braft
An industrial-grade C++ implementation of RAFT consensus algorithm based on brpc, widely used inside Baidu to build highly-available distributed systems.
incubator-brpc
Industrial-grade RPC framework used throughout Baidu, with 1,000,000+ instances and thousands kinds of services, called "baidu-rpc" inside Baidu.
FAISS_exps
FAISS KNN/ANN Experiments Pool
Line_based_BA
Using matching world-3D-to-image-2D lines to estimate the pose in C++.
g2o_pose_optimization
Use g2o to optimize the camera pose. Initial guess is from EPnP.
faiss
A library for efficient similarity search and clustering of dense vectors.
Ultra-Light-Fast-Generic-Face-Detector-1MB
💎1MB lightweight face detection model (1MB轻量级人脸检测模型)
deepstream_360_d_smart_parking_application
Describes the full end to end smart parking application that is available with DeepStream 4.0
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
nyu-latex-templates
Beamer presentation and poster template for New York University / NYU Abu Dhabi / NYU Shanghai
DeepLearning2019
Evaluation code for the final project in DS-GA 1008: Deep Learning 2019
models-comparison.pytorch
Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures