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trholding / llama2.c
Forked from karpathy/llama2.cLlama 2 Everywhere (L2E)
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…
Generative Agents: Interactive Simulacra of Human Behavior
A Gradio web UI for Large Language Models with support for multiple inference backends.
Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
XVERSE-13B: A multilingual large language model developed by XVERSE Technology Inc.
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🦜🔗 Build context-aware reasoning applications
An open-source tool-augmented conversational language model from Fudan University
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
🖖基于[email protected]构建的chatGTP桌面应用程序(Mac/Windows/Linux)
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。
An open source library for face detection in images. The face detection speed can reach 1000FPS.
中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard
A PyTorch-based model pruning toolkit for pre-trained language models
A PyTorch-based knowledge distillation toolkit for natural language processing
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)
LightSeq: A High Performance Library for Sequence Processing and Generation
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
ncnn is a high-performance neural network inference framework optimized for the mobile platform
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
MSVC's implementation of the C++ Standard Library.
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its…
TensorFlow code and pre-trained models for BERT
Must-read papers on prompt-based tuning for pre-trained language models.