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Official release of InternLM2.5 base and chat models. 1M context support
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Matting Anything Model (MAM), an efficient and versatile framework for estimating the alpha matte of any instance in an image with flexible and interactive visual or linguistic user prompt guidance.
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
Learn how to design systems at scale and prepare for system design interviews
StyleGAN - Official TensorFlow Implementation
Official Implementation for "TEXTure: Text-Guided Texturing of 3D Shapes"
Implementation of paper:A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
A machine learning toolkit for log parsing [ICSE'19, DSN'16]
Attributing predictions made by the Inception network using the Integrated Gradients method
Implementation of Stacked Convolutional Autoencoder in tf.keras (TensorFlow2.3).
We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
Python package enabling the usage of the grapenlp-core library from Python
Fit interpretable models. Explain blackbox machine learning.
Bayesian inference of linear temporal logic (LTL) specifications to explain differences across two sets of traces
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras
Multivariate LSTM Fully Convolutional Networks for Time Series Classification
A best practice for tensorflow project template architecture.
A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.
Latent space autoregression for novelty detection.
Acceptance rates for the major AI conferences