Pytorch Grad Cam
jacobgil
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
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12.9KGitHub
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Results · “anomaly-detection-models”
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Ludwig
ludwig-ai
Low-code framework for building custom LLMs, neural networks, and other AI models
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11.7KGitHub
Notebooks
roboflow
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge model…
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9.5KGitHub
Inference
xorbitsai
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all throug…
9.3KGitHub
Bitsandbytes
bitsandbytes-foundation
Accessible large language models via k-bit quantization for PyTorch.
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8.3KGitHub
H2o 3
h2oai
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeli…
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7.5KGitHub
Interpret
interpretml
Fit interpretable models. Explain blackbox machine learning.
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6.9KGitHub
Serving
tensorflow
A flexible, high-performance serving system for machine learning models
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6.4KGitHub
8.9KGitHub
Speech To Speech
huggingface
Build local voice agents with open-source models
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4.9KGitHub
Statsforecast
Nixtla
Lightning ⚡️ fast forecasting with statistical and econometric models.
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4.8KGitHub
Lit
PAIR-code
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
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3.7KGitHub
TransformerEngine
NVIDIA
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, t…
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3.4KGitHub
Shapash
MAIF
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
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3.2KGitHub
Physicsnemo
NVIDIA
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
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3KGitHub
Aimet
qualcomm
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
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2.6KGitHub
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