Gpwner's repositories

Opencv_text_to_Image

This is a project which can write chinese text on any image with opencv

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tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

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models

This should be run in tensorflow-nightly[-gpu] which install by pip install tf-nightly[-gpu]

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android

Android Plugin for IntelliJ IDEA

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bark

🔊 Text-Prompted Generative Audio Model

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bazel

a fast, scalable, multi-language and extensible build system

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bert

TensorFlow code and pre-trained models for BERT

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bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

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BERT-flow

TensorFlow implementation of On the Sentence Embeddings from Pre-trained Language Models (EMNLP 2020)

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chinese-ocr

运用tensorflow实现自然场景文字检测,keras/pytorch实现crnn+ctc实现不定长中文OCR识别

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credit_card

信用评分

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CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

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deeplearning_ai_books

deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)

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detectorch

Detectorch - detectron for PyTorch

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Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

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faceswap

Non official project based on original /r/Deepfakes thread. Many thanks to him!

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hands_on_Ml_with_Sklearn_and_TF

OReilly Hands On Machine Learning with Scikit Learn and TensorFlow (Sklearn与TensorFlow机器学习实用指南)

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Image_Generator

This repository is used to get screenshot of your video

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imgaug

Image augmentation for machine learning experiments.

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ltp

Language Technology Platform

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mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

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nmt

TensorFlow Neural Machine Translation Tutorial

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open-solution-home-credit

Open solution to the Home Credit Default Risk challenge :house_with_garden:

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ScoreCardModel

Score card model for Credit Scoring System.

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srs

SRS is a simple, high efficiency and realtime video server, supports RTMP, WebRTC, HLS, HTTP-FLV and SRT.

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stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

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transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

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X-Transformer

X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification

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xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

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