tonny's repositories
milvus
A cloud-native vector database, storage for next generation AI applications
excalidraw-libraries
Collection of publicly available libraries
awesome-causal-inference
A curated list of causal inference libraries, resources, and applications.
landslide
Generate HTML5 slideshows from markdown, ReST, or textile
nougat
Implementation of Nougat Neural Optical Understanding for Academic Documents
Flowise
Drag & drop UI to build your customized LLM flow
whisper.cpp
Port of OpenAI's Whisper model in C/C++
LangChain-Chinese-Getting-Started-Guide
LangChain 的中文入门教程
ChatGLM2-6B
ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
CodeGeeX
CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)
openai-cookbook
Examples and guides for using the OpenAI API
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
PMMAA
《Python 数学建模算法与应用》- 司守奎，知识点笔记 & 代码 (Python Mathematical Modeling)
awesome-spark
A curated list of awesome Apache Spark packages and resources.
maplibre-gl-js
MapLibre GL JS - Interactive vector tile maps for web. Open base map altenative.
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
martin
Blazing fast and lightweight PostGIS, MBtiles and PMtiles tile server
Document_QA
类似于chatpdf的简化demo版
node-map-backend
node osrm and mapnik backend map engine
superset-dev
my superset
Econometrics-With-Python
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly without hustles of derivation and Python codes are straightforward.
prml
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
points2nerf
Points2NeRF
ml-mastery-zh
:book: [译] MachineLearningMastery 博客文章
tensorflow-CTR
Tensorflow implementations of various Learning to CTR algorithms.