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Collection of awesome resources on image-to-image translation.
[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️♂️
This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
OpenMMLab Detection Toolbox and Benchmark
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
[ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"
Automatic extraction of relevant features from time series:
NSGA-Net, a Neural Architecture Search Algorithm
A PyTorch implementation of learning shapelets from the paper Grabocka et al., „Learning Time-Series Shapelets“.
⛵ResNet based SSD, Implementation in Pytorch
This Repository is implementation of majority of Semantic Segmentation Loss Functions
Awesome Generative Adversarial Networks with tensorflow
Convert scikit-learn models and pipelines to ONNX
A small package to create visualizations of PyTorch execution graphs
Code for the paper "Spatio-Temporal Neural Networks for Space-Time Series Modeling and Relations Discovery"
Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anoma…
📊 Simple package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series
Install PyTorch distributions from the latest wheels
Differentiable elastic deformations for N-dimensional images (Python, SciPy, NumPy, TensorFlow, PyTorch).
Image augmentation library in Python for machine learning.
An implementation of the watershed algorithm in CUDA.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.