6770 Open source projects that are alternatives of or similar to Automatic Watermark Detection

StarNet

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

How to build RNNs and LSTMs from scratch with NumPy.

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Detect and fix skew in images containing text

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

A End to End CNN Model which predicts the steering wheel angle based on the video/image

An android image watermark library that supports steganography.

📓 deepleaning and cv notes.

Color tracking with OpenCV

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Machine learning algorithms implemented by pure numpy

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and folium

Alpine Container for Machine Learning

Tutorials for learning OpenCV in Python from Scratch

RETIRED - instead use https://github.com/robmarkcole/HASS-Deepstack-object

Numerical & Scientific Computing with Python Tutorial

For extensive instructor led learning

A series of self-correcting challenges for practicing your Machine Learning and Deep Learning skills

notebooks with example for machine learning examples

Source material for Python Like You Mean it

The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.

Statistical Rethinking (2nd ed.) with NumPyro

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

Keras version of Realtime Multi-Person Pose Estimation project

MLOps examples

Fast computer vision library for SFM, calibration, fiducials, tracking, image processing, and more.

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

Visualize and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2).

Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch

秒级! 三行代码实现iOS视频压缩、变速、混音、合并、GIF水印、旋转、换音、裁剪 ! 支持不同分辩率，支持你能想到的各种混合操作! 扩展性强...更多功能不断增加中... iOS 8.0 + 有需要的功能或错误欢迎issue，笔者会及时更新

Udemy üzerindeki Python kurslarında kullanılan materyaller

An implementation of WaveNet with fast generation

A simple Python data-structure visualization tool for lists of lists, lists, dictionaries; primarily for use in Jupyter notebooks / presentations

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Pytorch easy-to-follow Capsule Network tutorial

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

Data Hacking Project

pytorch implementation of openpose including Hand and Body Pose Estimation.

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

strip output from Jupyter and IPython notebooks

Solutions of Reinforcement Learning, An Introduction

Inference Code for Polygon-RNN++ (CVPR 2018)

Resources for "Introduction to Deep Learning" course.

Implementing Siamese networks with a contrastive loss for similarity learning

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

Structured data about Panama papers collected from official ICIJ website

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.