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This repository contains the source code for the paper First Order Motion Model for Image Animation

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

Anomaly detection related books, papers, videos, and toolboxes

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

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.

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） ? 在线电子书 https://charmve.github.io/computer-vision-in-action/ ?项目主页

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This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. ?

Resources on the topic of digital morphogenesis (creating form with code). Includes links to major articles, code repos, creative projects, books, software, and more.

The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Datasets, papers and books on AI & Finance.

Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media

A curated list of Machine Learning Surveys, Tutorials and Books.

Infinite Bookshelf: Generate entire books in seconds using Groq and Llama3