tangminji's repositories
NoisywikiHow
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing (ACL2023 Findings)
NoisywikiHow-dataset
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing (ACL2023 Findings)
DiscrimLoss
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination
STGN-NoisyNER
Sub-experiment of "STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing" (EMNLP 2022) by Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu.
STGN-wikiHow
Sub-experiment of "STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing" (EMNLP 2022) by Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu.
ASER
ASER (Activities, States, Events, and their Relations): a large-scale weighted eventuality knowledge graph.
CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
evals
Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks.
google-research
Google Research
Lhy_Machine_Learning
李宏毅2021春季机器学习课程课件及作业
ltp
Language Technology Platform
Megatron-LM
Ongoing research training transformer models at scale
ML2021-Spring
李宏毅 (Hung-Yi Lee) 機器學習 Machine Learning 2021 Spring
ner_demo
按要求制作的ner_demo，后端暂时使用ltp获取结果，目前先使用固定的两个样例展示，
openai-python
The OpenAI Python library provides convenient access to the OpenAI API from applications written in the Python language.
MentorMix_pytorch
[MentorMix] "Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels" implemented in the PyTorch version.
paddle-nmt
saved models
scir-training-day
a small training program for new crews of HIT-SCIR
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.