math6068 Goto Github PK
Type: User
Type: User
100 Days of ML Coding
Roadmap to becoming an Artificial Intelligence Expert in 2022
Machine Learning Ops Workshop with SageMaker: lab guides and materials.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
An experimental open-source attempt to make GPT-4 fully autonomous.
😎 Awesome lists about all kinds of interesting topics
A curated list of awesome JupyterLab extensions and resources
A curated list of awesome Python frameworks, libraries, software and resources
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
The uncompromising Python code formatter
Some examples for the use of boost::python
Edge Inference in Browser with Transformer NLP model
A high-performance, zero-overhead, extensible Python compiler using LLVM
Making big AI models cheaper, easier, and more scalable
The Data Engineering Cookbook
The Hugging Face course
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
Roadmap to becoming a data engineer in 2021
Free Data Engineering course!
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[email protected] 版权所有,违权必究 Tan 2018.06
:art: Diagram as Code for prototyping cloud system architectures
CNN for climate forecast
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.
Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai
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.
The release repo for "Vicuna: An Open Chatbot Impressing GPT-4"
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Tooling for GANs in TensorFlow
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.