spectatorwatcher Goto Github PK
Name: spectator
Type: User
spectator's Projects
awesome-knowledge-graph
整理知识图谱相关学习资料
awesome-machine-learning-1
Learning Resources And Links Of Machine Learning（updating）
awesome-python-webapp
小白的Python入门教程实战篇：网站+iOS App源码
awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
bash-guide
a guidance to elementary and correctly(maybe) bash scripts writing
chatglm2-6b
ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
chatgpt-java
ChatGPT Java SDK支持流式输出、Gpt插件、联网。支持OpenAI官方所有接口。ChatGPT的Java客户端。OpenAI GPT-3.5-Turb GPT-4 Api Client for Java
document.ai
基于向量数据库与GPT3.5的通用本地知识库方案(A universal local knowledge base solution based on vector database and GPT3.5)
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
firefly
Firefly(流萤): 中文对话式大语言模型
generative_agents
Generative Agents: Interactive Simulacra of Human Behavior
gpt_academic
为ChatGPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持清华chatglm等本地模型。兼容复旦MOSS, llama, rwkv, 盘古, newbing, claude等
harvesttext
文本挖掘和预处理工具（文本清洗、新词发现、情感分析、实体识别链接、关键词抽取、知识抽取、句法分析等），无监督或弱监督方法
langchain-chatglm
langchain-ChatGLM, local knowledge based ChatGLM with langchain ｜ 基于本地知识库的 ChatGLM 问答
llama-efficient-tuning
Easy-to-use fine-tuning framework using PEFT (PT+SFT+RLHF with QLoRA) (LLaMA-2, BLOOM, Falcon, Baichuan, Qwen, ChatGLM2)
mypython
have fun with python
nanogpt
The simplest, fastest repository for training/finetuning medium-sized GPTs.
nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
pytorch-cifar
95.47% on CIFAR10 with PyTorch
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
shadowsocks
A fast tunnel proxy that helps you bypass firewalls
webbench
Webbench是一个在linux下使用的非常简单的网站压测工具。它使用fork()模拟多个客户端同时访问我们设定的URL，测试网站在压力下工作的性能，最多可以模拟3万个并发连接去测试网站的负载能力。
wenda
闻达：一个LLM调用平台。目标为针对特定环境的高效内容生成，同时考虑个人和中小企业的计算资源局限性，以及知识安全和私密性问题
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