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Awesome-LLM: a curated list of Large Language Model
Collections of awesome neovim plugins.
Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
A collection of full time roles in SWE, Quant, and PM for new grads.
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
📙 Amazon Web Services — a practical guide
Collection of Summer 2026 tech internships!
24 Lessons, 12 Weeks, Get Started as a Web Developer
Curated coding interview preparation materials for busy software engineers
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning mode…
This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks](https://openreview.net/pdf?id=9l0K4OM-oXE) in PyTorch.
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
Low precision random Fourier features for kernel approximation
Repository for the One class neural networks paper
A PyTorch implementation of the Deep SVDD anomaly detection method
Deadline countdowns for academic conferences in Security and Privacy
算法面试必备，推荐刷题网站www.lintcode.com。北大学霸的《LeetCode刷题模板》+V领取: jiuzhangfeifei
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX