There are 1 repository under model-analysis topic.
The Go-To Choice for CV Data Visualization, Annotation, and Model Analysis.
📚 🐣 软件实践文集。主题不限,思考讨论有趣有料就好,包含如 系统的模型分析/量化分析、开源漫游者指南、软件可靠性设计实践、平台产品的逻辑与执行… 🥤
Monitor the performance of OpenAI's GPT O3 Mini model over time.
The CoLoMoTo Interactive Notebook: Accessible and Reproducible Computational Analyses for Qualitative Biological Networks
A final year project on RecipeLens( Food image to recipe generation)
The official code and dataset for EMNLP 2022 paper "COPEN: Probing Conceptual Knowledge in Pre-trained Language Models".
pycalibrate is a Python library to visually analyze model calibration in Jupyter Notebooks
A Julia package for mapping qualitative data patterns to regions of a model's parameter space.
Offensive language detection and sentiment analysis on Nepali text
TorchMeter⏲️: Your all-in-one tool for Pytorch model analysis, measuring Params, FLOPs/MACs(aka. MACC or MADD), Memory cost, Inference time and Throughput! ! 🚀
Some code for my Physics of Fission Reactors model analysis reports, written in MATLAB and Python
The Labelled Transition Systems Extractor tool project
MADS (Model Analysis & Decision Support) documentation
This analysis refers to uncertainity, both model uncertainity and data uncertainity.
Adult-Child Musculoskeletal Model and Motion Analysis.
Developed a machine learning model to identify fraudulent credit applications, with a Fraud Detection Rate of 56.12% at 3% of the population. The resulting model can be utilized in a credit card fraud detection system.
Robust pmap calls for efficient parallelization and high-performance computing
Learn about Feature Engineering and get familiar with Advanced regression techniques like Lasso, ElasticNet, Gradient Boosting, etc.
Visual analysis of models based on input and outputs.
1st Software Specification Project
Integration and testing of new functionality for the library
🎯 Deep Learning Model Analysis Made Easy: Visualize and understand your model's behavior, attention patterns, and decision boundaries with interactive visualizations.
A school project using machine learning to predict seismic hazard
🧠 Enhance visual search with Mini-o3, providing state-of-the-art multi-turn reasoning and easy-to-use training code for advanced AI applications.
Visualize the filters of a pre-trained model and analyze which portion of the image contributes most to the overall detection.
🧬 Diffusion Model Genealogy - Mapping the family relationships between text-to-image diffusion models through multi-dimensional similarity analysis. Interactive visualizations and automatic family clustering