vince-CV's Stars
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
facebookresearch/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
open-mmlab/mmdetection
OpenMMLab Detection Toolbox and Benchmark
AlexeyAB/darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
NVIDIA/nvidia-docker
Build and run Docker containers leveraging NVIDIA GPUs
microsoft/qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
PaddlePaddle/PaddleDetection
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
google-research/vision_transformer
Ewenwan/MVision
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
raghakot/keras-vis
Neural network visualization toolkit for keras
ndrplz/self-driving-car
Udacity Self-Driving Car Engineer Nanodegree projects.
mithi/robotics-coursework
🤖 Places where you can learn robotics (and stuff like that) online 🤖
BBuf/Image-processing-algorithm
paper implement
udacity/cn-deep-learning
clovaai/overhaul-distillation
Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)
BBuf/Darknet
AlexeyAB-DarkNet源码解析
extreme-assistant/survey-computer-vision-2021
2021年计算机视觉技术综述分类汇总
mayuri0192/Object-Tracking-using-CNN-and-RNN
Object Tracking using CNN and RNN in Tensorflow
HPI-DeepLearning/DIRNet
Implement the DIRNet for image registration (https://arxiv.org/abs/1704.06065)
vince-CV/optimization-in-deep-learning
Optimization algorithms commonly used in deep learning, mini-batch GD, SGD, and momentum methods AdapGrad, Adam... advanced methods Newton, quasi-Newton, L-BFGS...
vince-CV/Convolutional-neural-nets-implementation
Deep learning case studies with a popular deep learning framework Tensorflow, which included contents as Softmax , AutoEncoder, Multi-Layer Preceptrons, CNN, RNN, LSTM...