100-Days-Of-ML-Code中文版

VIP cheatsheets for Stanford's CS 229 Machine Learning

(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design

A library of extension and helper modules for Python's data analysis and machine learning libraries.

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

Toolbox of models, callbacks, and datasets for AI/ML researchers.

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Stock Price Prediction using Machine Learning Techniques

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

A deep neural network that learns to drive in video games

A collections of public and free annotated datasets of relationships between entities/nominals (Portuguese and English)

Complete-Life-Cycle-of-a-Data-Science-Project

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

A simple python OCR engine using opencv

Current state of supervised and unsupervised depth completion methods

Code for reproducing Manifold Mixup results (ICML 2019)

Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training

PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.

[ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

Implementing machine learning algorithms from scratch.

The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

One-click training of your own GPT. Training a GPT has never been easier for beginners. / 一键预训练+SFT一个属于自己的LLM，0基础训练GPT原来可以这么简单？

(JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II. JAIR = Journal of Artificial Intelligence Research.