Black-cup

lamini

llama.cpp

LLM inference in C/C++

GLM-130B

GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

PandaLM

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

BELLE

BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）

LLMZoo

⚡LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.⚡

awesome-pretrained-chinese-nlp-models

Awesome Pretrained Chinese NLP Models，高质量中文预训练模型&大模型&多模态模型&大语言模型集合

Chinese-Names-Corpus

中文人名语料库。人名生成器。中文姓名,姓氏,名字,称呼,日本人名,翻译人名,英文人名。可用于中文分词、人名实体识别。

data-matching-software

A list of free data matching and record linkage software.

DeepIE

DeepIE: Deep Learning for Information Extraction

NLPDataSet

记录本人整理的一些数据集

papers

I categorize, annotate and write comments for all research papers I read (410+ papers since 2018).

awesome-active-learning

Everything you need about Active Learning (AL).

active-learning

awesome-active-learning

A curated list of awesome Active Learning

qkeras

QKeras: a quantization deep learning library for Tensorflow Keras

micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

awesome-reinforcement-learning-zh

中文整理的强化学习资料（Reinforcement Learning）

model-optimization

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

ai-models-serialization

AI模型序列化总结

transformers

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

tensorflow

An Open Source Machine Learning Framework for Everyone

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

easy-rl

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

Self-Attention-Keras

自注意力与文本分类

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。

transformer

A TensorFlow Implementation of the Transformer: Attention Is All You Need