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Official Implementation for paper "Referring Transformer: A One-step Approach to Multi-task Visual Grounding" Neurips 2021
A simple recipe for training and inferencing Transformer architecture for Multi-Task Learning on custom datasets. You can find two approaches for achieving this in this repo.
This is the source code for the ECCV paper "MTFormer: Multi-Task Learning via Transformer and Cross-Task Reasoning"
The simplest, fastest repository for training/finetuning medium-sized GPTs.
repository containing code for mtl modelling of multiple image classification tasks
a (nearly) no-CSS, fast, minimalist Hugo theme ported from riggraz/no-style-please.
A fast, clean Hugo theme | 一个简单而优雅的 hugo 主题
PyTorch Lighning wrapper to make training ResNet classifiers easier.
The most cited deep learning papers
📺 Discover the latest machine learning / AI courses on YouTube.
[CVPR2020] "Detecting Attended Visual Targets in Video"
The code of "MRI-based Multi-task Interaction Learning for Alzheimer's Disease Diagnosis and MMSE Score Prediction: A Multi-site Validation"
This repository contains code corresponding to the paper Learning to Reconstruct People in Clothing from a Single RGB Camera.
Transformer Networks for Pedestrian Detection
Google Drive Public File Downloader when Curl/Wget Fails
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Simple PyTorch Tutorials Zero to ALL!
[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021
Engagement Intensity Prediction in Real TIme