Stars
[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2…
An implementation of "Community Preserving Network Embedding" (AAAI 2017)
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
A collection of important graph embedding, classification and representation learning papers with implementations.
Git mirror of http://hg.sagemath.org/sage-main/
PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset
Self-hosted crypto trading bot (automated high frequency market making) written in C++
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier