andrzejbandurski Goto Github PK
Name: Andrzej Bandurski
Type: User
Location: Munich Germany
Name: Andrzej Bandurski
Type: User
Location: Munich Germany
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
🖼 A collection of high-quality anime faces.
A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.
A neural network architecture(CNN+LSTM) that automatically generates captions from the images. The model uses ResNet architecture to train the Encoder while DecoderRNN has to be trained with our choice of trainable parameters. I have trained the model on the Microsoft Common Objects in COntext (MS COCO) dataset and have tested the network on fictitious images!
pmarcelino.com blog posts
machine learning model that predicts body mass index from face images
PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"
Explore Bounding Box Regression in Object Detection with TensorFlow.
This is a repository for the post : https://mlwhiz.com/blog/2019/04/15/chatbot/
Work related to Medium articles on the subject of convolutional neural networks
Predicting cryptocurrency prices using LSTM neural network
pytorch implementation for "Deep Flow-Guided Video Inpainting"(CVPR'19)
Image restoration with neural networks but without learning.
Deep learning codes and projects using Python
Emotion detection using CNN trained on fer2013 dataset
Face recognition using Facenet
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
A Re-implementation of Fixed-update Initialization
Train and deploy machine learning models for mobile apps with Fritz.
A GAN approach to RL. The generator produces actions, and the discriminator is a critic which gives a value.
Hand Gesture Recognition software using Neural Networks
Machine Learning example project using images of hand gestures.
This is the repo for the Free Code Camp article, "How to build an image classifier with greater than 97% accuracy." Classifier utilizes Python, PyTorch, Numpy, Matplotlib, Seaborn, JSON, and PIL.
A collection of machine learning examples and tutorials.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.