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A PyTorch implementation for the Recsys 2020 paper: Revisiting Adversarially Learned Injection Attacks Against Recommender Systems

Jupyter Notebook 23 7 Updated Sep 6, 2021

RoFormer升级版

Python 150 15 Updated Aug 11, 2022

Notes on books I read, talks I watch, articles I study, and papers I love

SCSS 5,634 1,211 Updated Jan 2, 2024

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

713 142 Updated Jun 4, 2021

🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer(第 2 版)》、《程序员面试金典(第 6 版)》题解

Java 32,610 8,084 Updated Jan 17, 2025

High-performance TensorFlow library for quantitative finance.

Python 4,645 587 Updated Nov 6, 2024

An encoder-decoder framework for learning from incomplete data

Python 46 12 Updated Jul 6, 2023

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative ski…

Jupyter Notebook 2,332 574 Updated Sep 5, 2024

Code for the manim-generated scenes used in 3blue1brown videos

Python 8,719 1,813 Updated Jan 9, 2025

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Jupyter Notebook 6,634 1,550 Updated Nov 26, 2024

Python Classes Without Boilerplate

Python 5,359 382 Updated Jan 16, 2025

You like pytorch? You like micrograd? You love tinygrad! ❤️

Python 27,551 3,063 Updated Jan 17, 2025

High-quality implementations of standard and SOTA methods on a variety of tasks.

Python 1,476 206 Updated Jan 14, 2025

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…

Python 15,999 2,730 Updated Jan 9, 2025

An arctic, north-bluish clean and elegant Vim theme.

Vim Script 2,534 275 Updated Apr 20, 2024

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

Python 1,888 284 Updated Jan 16, 2025

Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.

Python 423 45 Updated Jul 31, 2023

Hands-On Machine Learning with C++, published by Packt

C++ 453 126 Updated Jun 3, 2023

Materials for a short course on convex optimization.

Jupyter Notebook 335 115 Updated Dec 31, 2024

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Python 20,812 2,682 Updated Aug 15, 2024
Jupyter Notebook 52 11 Updated Aug 6, 2020

This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Faisal and Cheng Ong, written in python for Jupyter Notebook.

Jupyter Notebook 261 94 Updated Nov 9, 2020

Distributionally robust neural networks for group shifts

Python 254 49 Updated Jan 3, 2023

Source code accompanying O'Reilly book: Machine Learning Design Patterns

Jupyter Notebook 1,917 535 Updated Apr 28, 2021
Jupyter Notebook 810 173 Updated Dec 6, 2021

The code for iHateregex.io 😈 - The Regex Cheat Sheet

Vue 4,498 319 Updated Dec 27, 2023

Fast Differentiable Sorting and Ranking

Python 579 48 Updated Feb 15, 2024

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big …

Python 418 41 Updated Jul 10, 2024

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

Python 3,084 713 Updated Jul 2, 2024

Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

Python 1,539 191 Updated Aug 12, 2020
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