graytowne

revisit_adv_rec

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

roformer-v2

RoFormer升级版

learning-notes

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

ETDataset

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

leetcode

🔥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

tf-quant-finance

High-performance TensorFlow library for quantitative finance.

partial-encoder-decoder

An encoder-decoder framework for learning from incomplete data

Linear-Algebra-With-Python

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 skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

videos

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

pyprobml

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

attrs

Python Classes Without Boilerplate

tinygrad

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

uncertainty-baselines

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

qlib

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 to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

vim

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

recommenders

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

torchcde

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

Hands-On-Machine-Learning-with-CPP

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

cvx_short_course

Materials for a short course on convex optimization.

minGPT

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

rl_mlss_2020

MML-Companion

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.

group_DRO

Distributionally robust neural networks for group shifts

ml-design-patterns

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

EssentialMath

i-hate-regex

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

fast-soft-sort

Fast Differentiable Sorting and Ranking

ipyplot

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 numbers of images.

DeepCTR-Torch

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

sparse_attention

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