AI to Combat Environmental Pollution - detecting plastic waste in the environment to combat environmental pollution and promote circular economy (Deep Learning, PyTorch)

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python Jupyter Notebook shell deep-learning cnn trash pytorch neural-networks object-detection fastrcnn maskrcnn litter efficientdet detr waste-detection

Notebooks

Various notebooks we're working on from either our blog cfe.sh/blog or as general research.

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Jupyter Notebook data-science automation deep-learning neural-network jupyter analytics tensorflow keras jupyter-notebook pandas neural-networks data-analysis practical-machine-learning

SciNet PyTorch

A PyTorch implementation of the SciNet Paper

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python deep-learning physics neural-networks scinet

fromage

🧀 Pytorch code for the Fromage optimiser.

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Jupyter Notebook python shell deep-learning pytorch neural-networks optimiser fromage

pytorch integrated cell

Integrated Cell project implemented in pytorch

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python machine-learning pytorch generative-adversarial-network neural-networks autoencoder science-research cell-analysis cell-biology

Plant-Disease-Identification-using-CNN

Plant Disease Identification Using Convulutional Neural Network

skyline

🏙 Interactive in-editor performance profiling, visualization, and debugging for PyTorch neural networks.

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javascript python Less shell visualization atom performance deep-neural-networks interactive pytorch neural-networks

NeuralAction

Neural Action is a real-time CNN-based gaze tracking application providing human-machine interface to improve accessibility.

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C#cnn neural-networks eye-tracking user-interface user-experience nui eye-gaze human-machine-interface

HAM10000 dataset

Tools for workup of the HAM10000 dataset

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python Jupyter Notebook ImageJ Macro machine-learning dataset neural-networks dermatology diagnoses skin-cancer annotate-images

Image-Classification

Pre-trained VGG-Net Model for image classification using tensorflow

Handwritten-Names-Recognition

The goal of this project is to solve the task of name transcription from handwriting images implementing a NN approach.

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Jupyter Notebook java ocr neural-networks restricted-boltzmann-machine character-recognition principal-component-analysis neuralnetwork handwriting-recognition multilayer-perceptron-network handwritten-text-recognition histogram-of-oriented-gradients handwritten-character-recognition

Robotic Arm

Forward and Inverse Kinematics for Robotic Manipulator

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python shell arm deep-neural-networks neural-network robotics inverse-kinematics neural-networks jacobian forward-kinematics

nengo-dl

Deep learning integration for Nengo

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python deep-learning tensorflow neuroscience neural-networks spiking-neural-networks nengo

nnfs book

Sample code from the Neural Networks from Scratch book.

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python machine-learning deep-learning neural-networks

Machine-Learning

🌎 I created this repository for educational purposes. It will host a number of projects as part of the process .

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python r java machine-learning neural-network tensorflow linear-regression linear-programming matrix-multiplication matrices neural-networks tensorflow-experiments tensorflow-models

Motor-Imagery-Tasks-Classification-using-EEG-data

Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data

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Jupyter Notebook python machine-learning deep-learning tensorflow keras cnn neural-networks rnn

Sentiment-Analysis-of-Netflix-Reviews

Sentiment Analysis LSTM recurrent neural network's.

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python deep-learning sentiment-analysis tensorflow recurrent-neural-networks lstm neural-networks

multiclass-semantic-segmentation

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

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python deep-learning torch neural-networks classification unet semantic-segmentation kitti-dataset self-driving cityscapes multiclass feature-pyramid-network pytroch unet-image-segmentation cityscapes-dataset

deep-learning-in-s4tf

Get started with Swift for TensorFlow by examples

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Jupyter Notebook visualization machine-learning deep-neural-networks deep-learning tensorflow generative-adversarial-network neural-networks tensorflow-tutorials swift-examples tensorflow-examples swift-for-tensorflow s4tf

pyner

🌈 Implementation of Neural Network based Named Entity Recognizer (Lample+, 2016) using Chainer.

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python Makefile Dockerfile deep-learning chainer named-entity-recognition neural-networks sequence-labeling

pyradox

State of the Art Neural Networks for Deep Learning

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python deep-neural-networks deep-learning recurrent-neural-networks neural-networks artificial-neural-networks feedforward-neural-network convolutional-neural-networks tensorflow2

Deeplab-pytorch

Deeplab for semantic segmentation tasks

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python deep-neural-networks computer-vision deep-learning neural-network cnn pytorch neural-networks deeplearning image-segmentation deeplab object-segmentation

THINGSvision

Python package for extracting and analyzing image representations from state-of-the-art neural networks for computer vision

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python Jupyter Notebook shell computer-vision deep-learning tensorflow pytorch neural-networks alignment cognitive-science representations

TF-NNLM-TK

A toolkit for neural language modeling using Tensorflow including basic models like RNNs and LSTMs as well as more advanced models.

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python tensorflow lstm gru neural-networks language-model neural-language-models

CNN-models

YOLO-v2, ResNet-32, GoogLeNet-lite

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python computer-vision tensorflow keras cnn neural-networks yolo resnet googlenet

COVID-Net

Launched in March 2020 in response to the coronavirus disease 2019 (COVID-19) pandemic, COVID-Net is a global open source, open access initiative dedicated to accelerating advancement in machine learning to aid front-line healthcare workers and clinical institutions around the world fighting the continuing pandemic. Towards this goal, our global…

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