🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

A game theoretic approach to explain the output of any machine learning model.

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs

A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL

AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents

Official repository for Spyder - The Scientific Python Development Environment

pyclustering is a Python, C++ data mining library.

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

A toolkit for developing and comparing reinforcement learning algorithms.

The official Python library for the OpenAI API

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

A latent text-to-image diffusion model

[CVPR2021] VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning

[ICCV 2017] Torch code for Grad-CAM

标注自己的数据集，训练、评估、测试、部署自己的人工智能算法

Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"

一本系统地教你将深度学习模型的性能最大化的战术手册。

pytorch implementation of Domain-Adversarial Training of Neural Networks

Deep Active Learning

Everything you need about Active Learning (AL).

Electricity-Theft Detection in Smart Grids