MIrandaStock's Stars
liguodongiot/llm-action
本项目旨在分享大模型相关技术原理以及实战经验(大模型工程化、大模型应用落地)
kf-liu/The-Art-of-Linear-Algebra-zh-CN
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone", 线性代数的艺术中文版, 欢迎PR.
Guangxuan-Xiao/torch-int
This repository contains integer operators on GPUs for PyTorch.
jzhang38/TinyLlama
The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
logan-zou/prompt-engineering-for-developers
吴恩达《ChatGPT Prompt Engineering for Developers》课程中文版
xingchensong/dotfiles
my settings for dotfiles
LianjiaTech/BELLE
BELLE: Be Everyone's Large Language model Engine(开源中文对话大模型)
graykode/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
jaymody/picoGPT
An unnecessarily tiny implementation of GPT-2 in NumPy.
ray-project/llm-numbers
Numbers every LLM developer should know
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
SUDA-LA/sa-parser
[IJCAI'19] Code for "Self-attentive Biaffine Dependency Parsing"
nltk/nltk_data
NLTK Data
wikimedia/mediawiki
🌻 The collaborative editing software that runs Wikipedia. Mirror from https://gerrit.wikimedia.org/g/mediawiki/core. See https://mediawiki.org/wiki/Developer_access for contributing.
attardi/wikiextractor
A tool for extracting plain text from Wikipedia dumps
ToryDeng/ZUEL-Thesis
The LaTeX template for the bachelor thesis of ZUEL
stjordanis/pytorch-reptile-On-First-Order-Meta-Learning-Algorithms
Reimplementation of papers : On First-Order Meta-Learning Algorithms
wenet-e2e/wespeaker
Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit
luopeixiang/named_entity_recognition
中文命名实体识别(包括多种模型:HMM,CRF,BiLSTM,BiLSTM+CRF的具体实现)
achernodub/targer
BiLSTM-CNN-CRF tagger
moon-hotel/BertWithPretrained
An implementation of the BERT model and its related downstream tasks based on the PyTorch framework
649453932/Bert-Chinese-Text-Classification-Pytorch
使用Bert,ERNIE,进行中文文本分类
qbetterk/DAML
Source code for the ACL 2019 paper entitled "Domain Adaptive Dialog Generation via Meta Learning" by Kun Qian and Zhou Yu
NLP-LOVE/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
YugeTen/fish
Official implementation of paper Gradient Matching for Domain Generalization
learnables/learn2learn
A PyTorch Library for Meta-learning Research
hankcs/TreebankPreprocessing
Python scripts preprocessing Penn Treebank and Chinese Treebank
juntaoy/biaffine-ner
Named Entity Recognition as Dependency Parsing
chantera/biaffineparser
biaffineparser: Deep Biaffine Attention Dependency Parser
dragen1860/Reptile-Pytorch