Popular GitHub Repositories for Truth Discovery

? Papers & tech blogs by companies sharing their work on data science & machine learning in production.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

Official PyTorch implementation of PTS/PSRN: Fast and efficient symbolic expression discovery through parallelized tree search. Evaluates millions of expressions simultaneously on GPU with automated subtree reuse.

a machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..

文本挖掘和预处理工具（文本清洗、新词发现、情感分析、实体识别链接、关键词抽取、知识抽取、句法分析等），无监督或弱监督方法

Message Passing Neural Networks for Molecule Property Prediction

Zero shot vulnerability discovery using LLMs

"AI-Researcher: Fully-Automated Scientific Discovery with LLM Agents" & "Open-Sourced Alternative to Google AI Co-Scientist"

A package for the sparse identification of nonlinear dynamical systems from data

A powerful and flexible machine learning platform for drug discovery

[CVPR'23] Universal Instance Perception as Object Discovery and Retrieval

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

Self-hosted open-source web gallery to view your photos and videos featuring mobile-friendly, tagging and AI powered image discovery

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Python package for graph neural networks in chemistry and biology

A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)