Debugging, monitoring and visualization for Python Machine Learning and Data Science
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Mar 30, 2026 - Jupyter Notebook
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Debugging, monitoring and visualization for Python Machine Learning and Data Science
python debugging data-science machine-learning reinforcement-learning ai monitoring deep-learning jupyter jupyter-notebook debug machinelearning deeplearning debugging-tool saliency explainable-ai explainable-ml model-visualization
Entity Framework Core Power Tools - reverse engineering, migrations and model visualization in Visual Studio & CLI
visual-studio sql-server dotnet entity-framework dbcontext entity-framework-core visual-studio-extension hacktoberfest model-visualization
moDel Agnostic Language for Exploration and eXplanation
black-box data-science machine-learning predictive-modeling fairness interpretability explainable-artificial-intelligence explanations explainable-ai explainable-ml xai model-visualization interpretable-machine-learning iml dalex responsible-ai responsible-ml explanatory-model-analysis
📍 Interactive Studio for Explanatory Model Analysis
visualization learning r ai interactive model machine human interactivity interpretability explainable-ai xai model-visualization interpretable interpretable-machine-learning iml explainable explanatory-model-analysis explainable-machine-learning
A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
visualization python machine-learning deep-learning tensorflow image-processing pytorch image-classification image-dataset object-detection hacktoberfest bounding-boxes model-interpretation model-deployment model-serving model-visualization gradcam mlops fastapi
Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
machine-learning explore explain examine xai model-visualization predictive-models explanatory-model-analysis
Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME method. Available on CRAN
Visualize correlations between variables
Automated Shorthand Recognition using Optimized DNNs
classification knowledge-distillation shorthand-notation model-visualization model-optimization deepl-learning
Triplot: Instance- and data-level explanations for the groups of correlated features.
Interactive 3D visualization tool for deep learning architectures. Supports PyTorch, ONNX, Keras, and TensorFlow models with real time exploration and analysis.
react threejs machine-learning ai deep-learning reactjs tensorflow keras ml pytorch neural-networks 3d-visualization visualization-tools onnx model-visualization llm
PyTorch model architecture diagram generator: neural network diagram, SVG, PNG, TikZ, LaTeX
visualization python svg latex deep-learning neural-network pytorch model-architecture tikz model-diagram architecture-diagram diagram-generator deep-learning-visualization model-visualization pytorch-visualization pytorch-model diagram-as-code neural-network-visualization neural-network-diagram paper-figures
This repo helps to track model Weights, Biases and Gradients during training with loss tracking and gives detailed insight for Classification-Model Evaluation
nlp text-classification sklearn pytorch classification image-classification tensorboard metrics-visualization tensorboard-visualization model-visualization tensorboard-pytorch loss-plotting
This project integrates MobileViTv3 into YOLOv8 for UAV-based object detection, achieving higher accuracy and smoother training than the original yolov8n.pt. Designed with lightweight efficiency, it is well-suited for deployment on edge devices such as drones. A Streamlit app is provided for intuitive model visualization and real-time inference.
LiteCNN: Intuitive Python library for creating, training and visualizing convolutional neural networks. Features simplified CNN layer definition, automated training workflows, model visualization, and seamless Keras-to-ONNX conversion. Includes 15 pre-configured popular models for immediate use.
machine-learning computer-vision python-library neural-networks keras-tensorflow deep-learning-framework cnn-classification onnx model-visualization tensorflow2
Inspect models without loading the weights — VSCode viewer for .safetensors & .gguf (architecture flowcharts, tensor tables, header-only Hugging Face Hub inspection)
"A machine learning project to detect fake product reviews using Opinion Mining. It analyzes review text, extracts features, and trains models to classify reviews as genuine or deceptive. The focus is on accuracy and precision to ensure online content authenticity."
machine-learning natural-language-processing sentiment-analysis feature-extraction opinion-mining feature-engineering nlp-keywords-extraction model-visualization
A J-space-inspired AI visual art and interpretability playground for watching hidden-state word candidates swarm and collapse into language.
webgl threejs creative-coding generative-art hidden-states model-visualization ai-art llm mechanistic-interpretability j-space local-llm ai-interpretability logit-lens
Portable ML bridges and visual neural-network topology across PyTorch, Keras, TensorFlow, and serialized models.
python machine-learning integrations tensorflow pytorch neural-networks jsonl model-visualization huggingface model-inspection
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