Deep Learning

Repository for the paper "Data Efficient Masked Language Modeling for Vision and Language", accepted to Findings of EMNLP 2021.

The Modular and Robust State-Estimation Framework, or short, MaRS, is a recursive filtering framework that allows for truly modular multi-sensor integration. The framework further enables the handling of multiple sensors dynamical

This is the codebase for Diffusion Models Beat GANS on Image Synthesis.

Pytorch-version BERT-flow: One can apply BERT-flow to any PLM within Pytorch framework.

This repository is the official Pytorch implementation of Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision.

Efficient Test Time Adapter Ensembling for Low-resource Language Varieties

TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

Workshop Home Page for Benchmarking: Past, Present and Future

[EMNLP 2021] Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training

Roach: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach

A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling" (ICCV 2021)

[ICCV 2021] Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification

CVPR 2021 - Official code repository for the paper: On Self-Contact and Human Pose.

Client-side air drawing tool

SGMCMCJax is a lightweight library of stochastic gradient Markov chain Monte Carlo (SGMCMC) algorithms. The aim is to include both standard samplers (SGLD, SGHMC) as well as state of the art samplers.

Code and pre-trained models for "ReasonBert: Pre-trained to Reason with Distant Supervision", EMNLP'2021

+100 awesome Jupyter Notebooks templates, organized by tools, published by the Naas community, to kickstart your data projects in minutes. 😎

GeDML is an easy-to-use generalized deep metric learning library

Code for Neural-GIF: Neural Generalized Implicit Functions for Animating People in Clothing(ICCV21)

Implementation of a Transformer, but completely in Triton.

The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"

Code for "HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields".Notebook":40285}

Code for the paper "Reinforcement Learning as One Big Sequence Modeling Problem"

Implementation of Panoptic Segformer, in Pytorch. New SOTA on COCO with a simple, attention-based architecture

Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization

This project generates images you've probably seen in autonomous driving demo. Object Detection, Lane Detection, Road Segmentation, Depth Estimation using TensorRT

MuarAugment is the easiest way to a state-of-the-art data augmentation pipeline. Neural nets learn most from data they struggle with. MuarAugment uses the model to select the data augmentations that it has most trouble with, and u

Galileo library for large scale graph training by JD

This is a reproduced repo of Voxel Transformer for 3D object detection.

The (Official) PyTorch Implementation of the paper Deep Extraction of Manga Structural Lines. This project aims to extract the structural lines from 2D manga, cartoons, and illustrations.

Official Pytorch implementation of the paper "Action-Conditioned 3D Human Motion Synthesis with Transformer VAE", ICCV 2021

OpenMMLab Algorithm Ecological Challenge，the paper is RepVGG: Making VGG-style ConvNets Great Again

[ICCV 2021] Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose Estimation