Maschinelles Lernen · GitHub

pytorch version of neural collaborative filtering

Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"

该仓库用于构建自托管的12306验证码识别服务器

Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021

历年ICLR论文和开源项目合集，包含ICLR2021、ICLR2022、ICLR2023、ICLR2024、ICLR2025.

DenseNet Implementation in Tensorflow

StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion

[ICLR 2026] The implementation of the paper Foundation Visual Encoders Are Secretly Few-Shot Anomaly Detectors

Straightforward fuzzy matching, information retrieval and NLP building blocks for JavaScript.

A New Optimization Technique for Deep Neural Networks

A curated list of data science educational resources for essential data science skills

An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch

斯坦福机器学习完整 python 实现

深度学习工程师生存指南

Conformalized Quantile Regression

Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

Python script for illustrating Convolutional Neural Networks (CNN) using Keras-like model definitions

Audio Development Tools (ADT) is a project for advancing sound, speech, and music technologies, featuring components for machine learning, sound synthesis, speech and music generation, signal processing, game audio, digital audio workstations (DAWs), and more.