978 skills found · Page 1 of 33
camel-ai / Owl🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
jindongwang / TransferlearningTransfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
OpenPipe / ARTAgent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.5, GPT-OSS, Llama, and more!
median-research-group / LibMTLA PyTorch Library for Multi-Task Learning
alibaba / EasyRecA framework for large scale recommendation algorithms.
namisan / Mt DnnMulti-Task Deep Neural Networks for Natural Language Understanding
Farama-Foundation / MetaworldCollections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
NVlabs / PrismerThe implementation of "Prismer: A Vision-Language Model with Multi-Task Experts".
huggingface / Hmtl🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP
PaddlePaddle / PaddleHelixBio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
isl-org / MultiObjectiveOptimizationSource code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
megvii-research / PETR[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images
thuiar / MMSAMMSA is a unified framework for Multimodal Sentiment Analysis.
yaringal / Multi Task Learning ExampleA multi-task learning example for the paper https://arxiv.org/abs/1705.07115
SimonVandenhende / Multi Task Learning PyTorchPyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
thuml / Awesome Multi Task LearningA curated list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
nyu-mll / GLUE Baselines[DEPRECATED] Repo for exploring multi-task learning approaches to learning sentence representations
SinclairCoder / Instruction Tuning PapersReading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
drawbridge / Keras MmoeA TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
lorenmt / MtanThe implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].