Highlights
- Pro
Stars
A PyTorch implementation for the Recsys 2020 paper: Revisiting Adversarially Learned Injection Attacks Against Recommender Systems
Notes on books I read, talks I watch, articles I study, and papers I love
The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.
🔥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
High-performance TensorFlow library for quantitative finance.
An encoder-decoder framework for learning from incomplete data
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…
Code for the manim-generated scenes used in 3blue1brown videos
Python code for "Probabilistic Machine learning" book by Kevin Murphy
You like pytorch? You like micrograd? You love tinygrad! ❤️
High-quality implementations of standard and SOTA methods on a variety of tasks.
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…
An arctic, north-bluish clean and elegant Vim theme.
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
Hands-On Machine Learning with C++, published by Packt
Materials for a short course on convex optimization.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
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.
Distributionally robust neural networks for group shifts
Source code accompanying O'Reilly book: Machine Learning Design Patterns
The code for iHateregex.io 😈 - The Regex Cheat Sheet
Fast Differentiable Sorting and Ranking
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 …
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"