royinx's starred repositories
hidden-stratification
Combating hidden stratification with GEORGE
rpg_timelens
Repository relating to the CVPR21 paper TimeLens: Event-based Video Frame Interpolation
onnx-pytorch
A code generator from ONNX to PyTorch code
gpu-monitoring-tools
Tools for monitoring NVIDIA GPUs on Linux
cuda_utils
CUDA utils API
cuda_utils
CUDA utils API
Parallel_NMS
Parallel CUDA implementation of NON maximum Suppression
flink-recommandSystem-demo
:helicopter::rocket:基于Flink实现的商品实时推荐系统。flink统计商品热度,放入redis缓存,分析日志信息,将画像标签和实时记录放入Hbase。在用户发起推荐请求后,根据用户画像重排序热度榜,并结合协同过滤和标签两个推荐模块为新生成的榜单的每一个产品添加关联产品,最后返回新的用户列表。
fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
Exclusively-Dark-Image-Dataset
Exclusively Dark (ExDARK) dataset which to the best of our knowledge, is the largest collection of low-light images taken in very low-light environments to twilight (i.e 10 different conditions) to-date with image class and object level annotations.
CudaSampleUtils
cuda sample self
BackgroundMusic
Background Music, a macOS audio utility: automatically pause your music, set individual apps' volumes and record system audio.
Efficient-Deep-Learning
Collection of recent methods on (deep) neural network compression and acceleration.
line_profiler
Line-by-line profiling for Python
PyTorch_Video_Dataset
Video dataset class for loading videos in PyTorch using Dataloader
ssh-tutorial
SSH 教程
lightweight-gan
Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two
tensorrt_demos
TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet
GraphGallery
GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.
yolo-tensorrt
TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.
speechsquad
Conversational AI Benchmark.
LFD-A-Light-and-Fast-Detector
LFD is a big update upon LFFD. Generally, LFD is a multi-class object detector characterized by lightweight, low inference latency and superior precision. It is for real-world appilcations.