ljnktjnk's repositories
demo_ocr
Demo OCR
Paddle.js
Paddle.js is a web project for Baidu PaddlePaddle, which is an open source deep learning framework running in the browser. Paddle.js can either load a pre-trained model, or transforming a model from paddle-hub with model transforming tools provided by Paddle.js. It could run in every browser with WebGL/WebGPU/WebAssembly supported. It could also run in Baidu Smartprogram and WX miniprogram.
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
GCN_implement
Implement GCN for key extract information task
underthesea
Underthesea - Vietnamese NLP Toolkit
aiortc
WebRTC and ORTC implementation for Python using asyncio
yolo_v1_pytorch
PyTorch implementation of YOLO-v1 including training
labelme2coco
How to create custom COCO data set for instance segmentation
StanfordExtra
12k labelled instances of dogs in-the-wild with 2D keypoint and segmentations. Dataset released with our ECCV 2020 paper: Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop.
openzeppelin-contracts
OpenZeppelin Contracts is a library for secure smart contract development.
pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
PyMuPDF
Python bindings for MuPDF's rendering library.
coursera_tensorflow
How to use TensorFlow to implement a basic neural network, going up all the way Convolutional Neural Network.
yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite
client
Triton Python and C++ client libraries and example, and client examples for go, java and scala.
jQuery-File-Upload
File Upload widget with multiple file selection, drag&drop support, progress bar, validation and preview images, audio and video for jQuery. Supports cross-domain, chunked and resumable file uploads. Works with any server-side platform (Google App Engine, PHP, Python, Ruby on Rails, Java, etc.) that supports standard HTML form file uploads.
ml-from-scratch
All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.
Resume-NER
Applying BERT for named entity recognition on resumes.
AVSS2019
Efficient Violence Detection Using 3D Convolutional Neural Networks
keras-io
Keras documentation, hosted live at keras.io
OpenCV-Projects
OpenCV projects using python
text-recognition-label-tool
Text recognition label tool
deep-text-recognition-benchmark
Text recognition (optical character recognition) with deep learning methods.