xieyxclack

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

models

Models and examples built with TensorFlow

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

modelscope

ModelScope: bring the notion of Model-as-a-Service to life.

xlnet

XLNet: Generalized Autoregressive Pretraining for Language Understanding

FedML

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

DAMO-YOLO

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

GraphScope

🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统

texar

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

EasyNLP

EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

Awesome-FL

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

DomainBed

DomainBed is a suite to test domain generalization algorithms

data-juicer

A one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大语言模型提供更高质量、更丰富、更易”消化“的数据！

FederatedScope

An easy-to-use federated learning platform

Abstractive-Summarization-With-Transfer-Learning

Abstractive summarisation using Bert as encoder and Transformer Decoder

group_DRO

Distributionally robust neural networks for group shifts

bert_hae

BERT with History Answer Embedding for Conversational Question Answering

xsum_hallucination_annotations

Faithfulness and factuality annotations of XSum summaries from our paper "On Faithfulness and Factuality in Abstractive Summarization" (https://www.aclweb.org/anthology/2020.acl-main.173.pdf).

jtt

Code for "Just Train Twice: Improving Group Robustness without Training Group Information"

factual_coco

The implementation of <Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation> in PyTorch.

ENRL

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