28 Open source projects that are alternatives of or similar to emmental

HyperFace

Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019

Deep Recommenders

Code release for Your “Flamingo” is My “Bird”: Fine-Grained, or Not (CVPR 2021 Oral)

Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)

PCC Net: Perspective Crowd Counting via Spatial Convolutional Network

6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"

Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”

A lightweight module for Multi-Task Learning in pytorch.

A framework for large scale recommendation algorithms.

A Pytorch implementation of DeepCrack and RoadNet projects.

Inspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.

A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)

Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.

Source code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).

A prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

X-VLM: Multi-Grained Vision Language Pre-Training (ICML 2022)

Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"

Code for FOCAL Paper Published at ICLR 2021

Jia-Hong Lee, Yi-Ming Chan, Ting-Yen Chen, and Chu-Song Chen, "Joint Estimation of Age and Gender from Unconstrained Face Images using Lightweight Multi-task CNN for Mobile Applications," IEEE International Conference on Multimedia Information Processing and Retrieval, MIPR 2018

Asymmetric Multi-Task Attention Network for Prostate Bed Segmentation in CT Images

Yi-Min Chou, Yi-Ming Chan, Jia-Hong Lee, Chih-Yi Chiu, Chu-Song Chen, "Unifying and Merging Well-trained Deep Neural Networks for Inference Stage," International Joint Conference on Artificial Intelligence (IJCAI), 2018

A CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.

Automated modeling and machine learning framework FEDOT

TCyb 2018: Graph learning for multiview clustering

Multi-Task Deep Neural Networks for Natural Language Understanding

Multi-task deep learning framework for multi-omics data analysis