Popular GitHub Repositories for Cvut Fit

Fit interpretable models. Explain blackbox machine learning.

FIT: 企业级AI开发框架，提供多语言函数引擎（FIT）、流式编排引擎（WaterFlow）及Java生态的LangChain替代方案（FEL）。原生/Spring双模运行，支持插件热插拔与智能聚散部署，无缝统一大模型与业务系统。

GPU Accelerated t-SNE for CUDA with Python bindings

Slips, a free software behavioral Python intrusion prevention system (IDS/IPS) that uses machine learning to detect malicious behaviors in the network traffic. Stratosphere Laboratory, AIC, FEL, CVUT in Prague.

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

Integrate LLM in any pipeline - fit/predict pattern, JSON driven flows, and built in concurency support.

Tensorflow framework for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 2D or 3D keypoints, and how to generate textured head meshes from Images.

{mvgam} R ? to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting

Fourier Image Transformer (FIT) can solve relevant image analysis tasks in Fourier space.

Malicious actors often reuse code to deploy their malware, phishing website or CNC server. As a result, similiaries can be found on URLs path by inspecting internet traffic. Moreover, deep learning models or even regular ML model do not fit for inline deployment in terms of running performance. However, regexes ( or YARA rules ) can be deployed on a proxy and work in real time on all the traffic. LUDA can take a set of malicious and benign URLs and return a list of regexes ready to be deployed inline !

Fit hidden Markov models using Template Model Builder (TMB): flexible state-dependent distributions, transition probability structures, random effects, and smoothing splines.

AI-powered automation that extracts resume data, matches job listings, rewrites resumes to fit job descriptions, and manages storage using Google Drive and Sheets via n8n.

This research work focuses on comparing the existing approaches to explain the decisions of models trained using time-series data and proposing the best-fit method that generates explanations for a deep neural network. The proposed approach is used specifically for explaining LSTM networks for anomaly detection task in time-series data (satellite telemetry data).

Autologistic Actor Attribute Model (ALAAM) parameter estimation, simulation, and goodness-of-fit

Mental Health Flutter Application - attaching deployed API for ML Model

*SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach

A Julia package to define, fit and generate from Stochastic Weather Generators

Experiments on GPT-3's ability to fit numerical models in-context.

AIthelete: An AI Agent built with LangChain and Next.js to craft personalized training plans with detailed feedback and recommendations. Get fit with code! ? ?

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