Andrzej Bandurski's repositories
yolov3workflow
This workflow aims to make it easy to train and execute Yolo v3 object detection on Windows.
Automatic-Image-Captioning
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!
practical_intro_to_tf2
Building an image classifier in TF2
bmvc_2019
PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"
Cryptocurrency-Price-Prediction
Predicting cryptocurrency prices using LSTM neural network
tensornets
High level network definitions with pre-trained weights in TensorFlow
project_kojak
Training a Neural Network to Detect Gestures and Control Smart Home Devices with OpenCV in Python
nlp-services
SingularityNET services for understanding or manipulating natural language
machine_learning_examples
A collection of machine learning examples and tutorials.
animeGAN
A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.
fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
a-PyTorch-Tutorial-to-Object-Detection
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
Bounding_Box_Regression_TF
Explore Bounding Box Regression in Object Detection with TensorFlow.
fritz-models
Train and deploy machine learning models for mobile apps with Fritz.
Deep-learning-with-Python
Deep learning codes and projects using Python
fast-style-transfer
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
Deep-Flow-Guided-Video-Inpainting
pytorch implementation for "Deep Flow-Guided Video Inpainting"(CVPR'19)
Anime-Face-Dataset
🖼 A collection of high-quality anime faces.
pytorch-yolo-v3
A PyTorch implementation of the YOLO v3 object detection algorithm
Super-SloMo
PyTorch implementation of Super SloMo by Jiang et al.
objects_counting_dmap
Objects counting from density map
CNNs
Work related to Medium articles on the subject of convolutional neural networks
snake-rl
Multi process and multi GPU snake training. Using A2C with a CNN.
gan-rl
A GAN approach to RL. The generator produces actions, and the discriminator is a critic which gives a value.
pix2pixHD
Synthesizing and manipulating 2048x1024 images with conditional GANs
Fixup
A Re-implementation of Fixed-update Initialization