Machine Learning · GitHub

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.

Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier

Parametric differentiable curves with PyTorch for continuous embeddings, shape-restricted models, or KANs

• Differentiable: Custom autograd function ensures gradients flow properly through the curve evaluation.
• Vectorized: Vectorized operations for efficient batch and multi-curve evaluation.

An end-to-end AI pipeline that screens lung CT slices for nodules and localizes them, using patient risk factors, a CNN classifier, and U-Net segmentation.

• Multi-model decision pipeline. Three models with different roles are combined through explicit, auditable rules rather than a single opaque score.
• Disagreement-aware output. When the classifier and segmenter disagree, the system returns uncertain and states which model flagged the slice.

Learn all the mathematics required for deep learning complete with examples and explanations of their specific applications in the field and implement every concept using PyTorch.

• Mathematical Foundations: Detailed conceptual definitions paired with step-by-step solved examples.
• PyTorch Implementation: All mathematical concepts are implemented using the PyTorch framework for practical learning.

An optimized handwritten digit recognition model delivering exceptional accuracy, high-speed performance, and compatibility with low-end hardware, supported by comprehensive documentation, experiment tracking, data-driven decision-making, effective troubleshooting, and a modular project structure.

• Maximum execution speed
• Highly robust optimization

Deep learning interview handbook covering mathematics, machine learning, deep learning, computer vision, natural language processing, SLAM, and other areas.

Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

The best performing voice isolator there is. Keeps the caller's voice and removes the other voices in the room before speech-to-text hears them. Open source, streaming, runs on CPU and in the browser. pip install voxlock

Open-source Monocular Python HawkEye for Tennis

A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.

This is Andrew NG Coursera Handwritten Notes.

Active learning for systematic reviews

:earth_americas: Simple, ready-to-use TensorFlow tutorials

A GUI tool for offline transcription of speech recordings, including speaker diarization, utilizing state-of-the-art machine learning models.

• Batch Processing, allowing to have files queued for transcription
• Add options for more verbatim output

Self-hosted AI-powered transcription platform with speaker diarization, search, and collaboration features. Built with Svelte, FastAPI, and Docker for easy deployment.

• Time-Stamped Comments: Add annotations at specific moments
• User Management: Role-based access control (user / admin / super admin) with personalized settings