zhangyuanscall's repositories
text_classification
all kinds of text classification models and more with deep learning
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
automl
Google Brain AutoML
Awesome-Chinese-Instruction-Datasets
中文 Instruction 相关数据集整理
bigdata-learning
大数据学习记录
chinese_pytorch_pretrain_lm
基于pytorch的中文预训练语言模型的DAPT和TAPT
ChineseGLUE
Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard
deep_recommenders
Deep Recommenders
dualprompt-pytorch
Pytorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22
eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
GraphEmbedding
Implementation and experiments of graph embedding algorithms.
JittorLLMs
计图大模型推理库，具有高性能、配置要求低、中文支持好、可移植等特点
Keras-TextClassification
中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM
learn-regex
Learn regex the easy way
LoRA
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Machine-Learning
机器学习基本知识总结，包含常用算法、自然语言处理基础知识等
Markdown-Resume-Template
BAT程序员自己的简历模板分享出来了 。技术简历追求简单明了，避免没有必要的花哨修饰，大家可以fork到自己仓库中，基于这个模板进行修改。
NLP-Papers
Papers I have read, mainly about NLP. Welcome everyone to supplement in issue.
P-tuning-v2
An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks
pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Recommender-System-with-TF2.0
Recurrence the recommender paper with Tensorflow2.0
SmoothNLP
专注于可解释的NLP技术 An NLP toolset Implemented in python & java
spark_learning
尚硅谷大数据Spark-2019版最新 Spark 学习
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
WizardVicunaLM
LLM that combines the principles of wizardLM and vicunaLM
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow