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aspect-based-opinion-mining-nlp-with-python-

Aspect-Based Opinion Mining involves extracting aspects or features of an entity and figuring out opinions about those aspects. It's a method of text classification that has evolved from sentiment analysis and named entity extraction (NER). ABOM is thus a combination of aspect extraction and opinion mining. While opinions about entities are useful, opinions about aspects of those entities are more granular and insightful.

auto-encoding-variational-bayes

Auto Encoding Variational Bayes model with numpy and MNIST dataset.

breaching

Breaching privacy in federated learning scenarios for vision and text

colorization

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

darknet_ros

YOLO ROS: Real-Time Object Detection for ROS

deidentify

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

fed-ser-semi

Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-Labeling

fedml

A Research-oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. Join our Slack Community:(https://join.slack.com/t/fedml/shared_invite/zt-havwx1ee-a1xfOUrATNfc9DFqU~r34w)

fedml-server

FedML-Server: Federated Learning Server for FedML-IoT and FedML-Mobile

flower-speechbrain

infogan-pytorch

PyTorch Implementation of InfoGAN

meta-transfer-learning

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

ml-examples

naivebayes_and_lineargaussian_on_msrc-12_kinect_gesture_data

Predicting the body pose with NB and LGM on MSRC-12_Kinect Gesture Data

nerf

Code release for NeRF (Neural Radiance Fields)

nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

neural-networking

openselfsup

Self-Supervised Learning Toolbox and Benchmark

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-object-detection-faster-rcnn-tutorial

pytorch-stable-diffusion

Stable Diffusion implemented from scratch in PyTorch

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

sanjaylab-adversarial-detection

Adversarial Detection v.s. Object Detection.

sound-classification-on-raspberry-pi-with-tensorflow

In this project is presented a simple method to train an MLP neural network for audio signals. The trained model can be exported on a Raspberry Pi (2 or superior suggested) to classify audio signal registered with USB microphone

stable-diffusion

A latent text-to-image diffusion model

variational-methods-pdes-and-optimization-for-image-processing

This repository contains the MATLAB implementation of assignments completed as a part of the "Variational Methods, PDEs and optimization for Image Processing" course. This course was offered by the University of Bordeaux, France. The course was taken as part of the Erasmus Mundus Joint Master Degree in Image Processing and Computer Vision (IPCV).