VguanwenV

automl

Google Brain AutoML

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-rl

Reinforcement learning resources curated

car_moto_tracking_Jetson_Nano_Yolov8_TensorRT

Detect, track and count cars and motorcycles using yolov8 and TensorRT in Jetson Nano

CnC_Remastered_Collection

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

darknet

YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

datasets

A collection of datasets ready to use with TensorFlow

Dive-into-DL-TensorFlow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

imgaug

Image augmentation for machine learning experiments.

LeetCodeAnimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

mAP

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

mediapipe

MediaPipe is a cross-platform framework for building multimodal applied machine learning pipelines

milvus

Milvus -- the world's fastest vector search engine.

MiniRover

自制火星车开源资料

mobile-aloha

Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

Object-Detection-API-Tensorflow

Object Detection API Tensorflow

planet

Learning Latent Dynamics for Planning from Pixels

predicting-car-price-from-scraped-data

Picture and specifications scraper

PyBoy

Game Boy emulator written in Python

RankIQA.PyTorch

基于PyTorch实现的图像质量评估模型RankIQA

stylegan2

StyleGAN2 - Official TensorFlow Implementation

SuperPointPretrainedNetwork

PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)

tensorflow-yolov4-tflite

YOLOv4 Implemented in Tensorflow 2.0. Convert YOLO v4 .weights to .pb and .tflite format for tensorflow and tensorflow lite.

ultralytics_gray

modify ultralytics support single channel and

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

YOLOv8-TensorRT

YOLOv8 using TensorRT accelerate !

YOLOX

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/