TimeSeriesGAN

Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.

? 实时 零代码、全功能、强安全 ORM 库 ? 后端接口和文档零代码，前端(客户端) 定制返回 JSON 的数据和结构 ? Real-Time coding-free, powerful and secure ORM ? providing APIs and Docs without coding by Backend, and the returned JSON of API can be customized by Frontend(Client) users

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba. Full multimodal LLM Android App:[MNN-LLM-Android](./apps/Android/MnnLlmChat/README.md)

Python SQL Parser and Transpiler

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

Uplift modeling and causal inference with machine learning algorithms

Simple and Distributed Machine Learning

Next generation of automated data exploratory analysis and visualization platform.

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step