Implementation of "Boosting LiDAR-based Semantic Labeling by Cross-Modal Training Data Generation"
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Updated
Jul 14, 2019 - Python
Implementation of "Boosting LiDAR-based Semantic Labeling by Cross-Modal Training Data Generation"
Template repository for DL projects using PyTorch and Sacred.
WIP implementation of "Box2Pix: Single-Shot Instance Segmentation by Assigning Pixels to Object Boxes"
Implementation of FixMatch in PyTorch and experimentations
Collection of some utility scripts for training NLP models using hugging face library, used in context of datascience competitions
PyTorch implementation of "Meta Pseudo Labels"
"Exploring Simple Siamese Representation Learning" PyTorch implementation
PyTorch Community Voices 2021 - PyTorch-Ignite slides
A UNet model to perform semantic segmentation on images with a novel loss function
Simple example of federated learning using torch ignite and pysyft
Simple example of hyperparameter optimization using Raytune (with PyTorch ignite)
Training a neural network on the MNIST dataset using ZenML and PyTorch ignite
"Self-training with Noisy Student improves ImageNet classification" pytorch implementation
Attentionist. A novel solution for Structured Sentiment Analysis
PyTorch Implementation of SOTA SSL methods
🔥 PyTorch implementation of GNINA scoring function for molecular docking
Variational autoencoder with PyTorch
This GitHub repository contains an implementation of Deep Convolutional Generative Adversarial Networks (DCGAN) for image generation. With this project, you can generate stunning and realistic images using the power of deep learning.
An extensible Deep Learning template for research and production
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