Deep Learning

Frameworks for Neural Networks and Deep Learning.

Newest releases

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

aau-cns 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

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

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

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

cindyxinyiwang Efficient Test Time Adapter Ensembling for Low-resource Language Varieties

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

kwchurch Workshop Home Page for Benchmarking: Past, Present and Future

yumeng5 [EMNLP 2021] Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training

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

dzld00 A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling" (ICCV 2021)

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

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

jeremiecoullon 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.

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

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

zbr17 GeDML is an easy-to-use generalized deep metric learning library

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

lucidrains Implementation of a Transformer, but completely in Triton.

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

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

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

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

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

iwatake2222 This project generates images you've probably seen in autonomous driving demo. Object Detection, Lane Detection, Road Segmentation, Depth Estimation using TensorRT

adam-mehdi 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

JDGalileo Galileo library for large scale graph training by JD

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

ljsabc 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.

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

bofen97 OpenMMLab Algorithm Ecological Challenge,the paper is RepVGG: Making VGG-style ConvNets Great Again

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