Time Delayed NN implemented in PyTorch. 
kernels = [(1, 25), (2, 50), (3, 75), (4, 100), (5, 125), (6, 150)]
tdnn = TDNN(kernels, input_embedding_size)
# in is tensor with shape [batch_size, max_seq_len, max_word_len, input_embedding_size]
out = tdnn(in)
A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop which is flexible enough to handle the majority of use cases,
Attentive Implicit Representation Networks (AIR-Nets) Preprint | Supplementary | Accepted at the International Conference on 3D Vision (3DV) teaser.mo
RangeLoss Pytorch This is a Pytorch reproduction of Range Loss, which is proposed in paper 《Range Loss for Deep Face Recognition with Long-Tailed Trai
Organseg dags - The repository contains the codebase for multi-organ segmentation with directed acyclic graphs (DAGs) in CT.
Learning-Augmented Dynamic Power Management This repository contains source code accompanying paper Learning-Augmented Dynamic Power Management with M
Revisiting Dynamic Convolution via Matrix Decomposition (ICLR 2021) A pytorch implementation of DCD. If you use this code in your research please cons
Objects as Points Object detection, 3D detection, and pose estimation using center point detection: Objects as Points, Xingyi Zhou, Dequan Wang, Phili
ADGC: Awesome Deep Graph Clustering ADGC is a collection of state-of-the-art (SOTA), novel deep graph clustering methods (papers, codes and datasets).
AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds (ICCV 2021 oral) **Project Page | Arxiv ** Runsong Zhu¹, Yuan Liu², Zhen Dong¹, Te
🤗 Hugging Face Transformer submillisecond inference 🤯 and deployment on Nvidia Triton server Yes, you can perfom inference with transformer based mo
VOODOO Revealing supercooled liquid beyond lidar attenuation Explore the docs » Report Bug · Request Feature Table of Contents About The Project Built
ADE20k Semantic segmentation with MAE Getting started Install the mmsegmentation
Official implementation of NeurIPS 2021 paper "One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective"
Bean Machine Overview Bean Machine is a probabilistic programming language for inference over statistical models written in the Python language using
Trajectory Prediction using Equivariant Continuous Convolution (ECCO) This is the codebase for the ICLR 2021 paper Trajectory Prediction using Equivar
FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks
Association Rules Mining Using Python Implementation of association rules mining algorithms (Apriori|FPGrowth) using python. As a part of hw1 code in
To make the comparison with Animatable NeRF easier on the Human3.6M dataset, we save the quantitative results at here, which also contains the results of other methods, including Neural Body, D-NeRF,
StackGAN-v2 StackGAN-v1: Tensorflow implementation StackGAN-v1: Pytorch implementation Inception score evaluation Pytorch implementation for reproduci
SNIPS: Solving Noisy Inverse Problems Stochastically This repo contains the official implementation for the paper SNIPS: Solving Noisy Inverse Problem
110 Dec 23, 2022
29 Dec 07, 2022
7 Nov 27, 2021
1 Jun 12, 2022
0 Feb 22, 2022
110 Nov 23, 2022
6.7k Jan 03, 2023
297 Dec 27, 2022
40 Dec 30, 2022
1.2k Jan 05, 2023
2 Apr 28, 2022
97 Dec 17, 2022
71 Dec 22, 2022
234 Dec 29, 2022
45 Jul 22, 2022
6 Nov 18, 2022
2 Nov 10, 2021
359 Jan 08, 2023
809 Dec 16, 2022
35 Nov 09, 2022