Anomaly Detection Resources
yzhao062
Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
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Results: 40
yzhao062
Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
yzhao062
A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic w…
unit8co
A python library for user-friendly forecasting and anomaly detection on time series.
Trusted-AI
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
mlabonne
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
py-why
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inferen…
roboflow
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
amazon-science
Chronos: Pretrained Models for Time Series Forecasting
bghira
A general fine-tuning kit geared toward image/video/audio diffusion models.
pytorch
Datasets, Transforms and Models specific to Computer Vision
huggingface
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and traini…
lutzroeder
Visualizer for neural network, deep learning and machine learning models
huggingface
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
tensorflow
A WebGL accelerated JavaScript library for training and deploying ML models.
wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
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