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Fast and flexible AutoML with learning guarantees.
This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.
使用Java构建各类常见算法。
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
Awesome Artificial Intelligence Projects
An autoML framework & toolkit for machine learning on graphs.
Efficiently computes derivatives of numpy code.
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
A Python implementation of global optimization with gaussian processes.
This is the homepage of a new book entitled "Mathmatical Foundations of Reinforcement Learning."
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python,适用于计量经济学、量化社会学、策略评估等领域。英文版原作者:Matheus Facure
The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
Uplift modeling and causal inference with machine learning algorithms
A Python library that helps data scientists to infer causation rather than observing correlation.
Useful CMake Examples
C++那些事
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
cuDF - GPU DataFrame Library
A NumPy-compatible array library accelerated by CUDA
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。
Parallel computing with task scheduling
使用C++构建各类数据结构,应用C++高级语法,同时应用其解决实际问题。
A Python package for manipulating 2-dimensional tabular data structures
Distributed Evolutionary Algorithms in Python
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.