tiendv's repositories
mmlabprojecttemplate
Project Template
awesome-table
表格解析资源综述
RFDNet-ImageSuperResolution
Keras Implementation of the paper Residual Feature Distillation Network for Lightweight Image Super-Resolution
awesome-tensorflow-lite
TensorFlow Lite models, samples, tutorials, tools and learning resources.
mmlabdemo
Một số sản phẩm demo của MMLab - Phòng Thí Nghiệm Truyền Thông Đa Phương Tiện, Trường Đại Học Công Nghệ Thông Tin - ĐHQG TP.HCM
Mask-RCNN-TF2
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
d2l-vn
Bản dịch cuốn sách "Dive into Deep Learning"
course-gitbook
Full Stack Deep Learning Online Course
computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Unknown-face-recognition
Models to classify unknown faces
ML-From-Scratch-1
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
pythoncoban
Lập Trình Python
A-Barebones-Image-Retrieval-System
This project presents a simple framework to retrieve images similar to a query image.
coding-interview-university
A complete computer science study plan to become a software engineer.
FaceID
face recognition with deep learning
TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch
Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)
EasyOCR
Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai
TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
monk_v1
Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
basics
📚 Learn ML with clean code, simplified math and illustrative visuals. As you learn, work on interesting projects and share them on https://madewithml.com for the community to discover and learn from!
deeplearning-models
A collection of various deep learning architectures, models, and tips
mmdetection
Open MMLab Detection Toolbox and Benchmark
Scene-Text-Understanding
OCR, Scene-Text-Understanding, Text Recognition