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A collection of personal notes and summaries on the DeepLearning.ai specialization courses for developers interested in deep learning.
A high-performance profiling and tracing tool for OCaml applications, providing deep insights into application performance.
ZenML is a production-ready AI platform that provides a unified framework for building, deploying, and managing ML pipelines and agents.
A PyTorch-based implementation of the Single Shot MultiBox Detector for object detection in computer vision tasks.
A comprehensive guide to start and improve in machine learning and AI, covering the latest techniques and tools.
SynapseML is a simple and distributed machine learning library for building and deploying AI models at scale.
Sqlflow brings SQL and AI together, allowing developers to build intelligent data-driven applications.
This repository provides the code for the book 'Deep Learning with PyTorch', a comprehensive guide to building deep neural networks using PyTorch.
A user-friendly template for ML experimentation using PyTorch Lightning and Hydra.
Interactive 3D visualization framework for pre-trained deep learning models, supporting TensorFlow, Keras and TensorFlow.js.
A Keras model that generates HTML code from hand-drawn website mockups using an image captioning architecture.
This is a repository for the Udacity Deep Reinforcement Learning Nanodegree program, focusing on deep reinforcement learning algorithms and techniques.
An image augmentation library in Python for machine learning and deep learning applications.
A Python library for probabilistic time series modeling and forecasting, useful for data scientists and ML engineers.
Open-source code repository for realtime multi-person pose estimation, a key computer vision task.
A PyTorch template for deep learning projects with easy setup and organization.
An Android app to bypass internet censorship and deep packet inspection (DPI) technology.
A Python library for learning machine learning and deep learning using PyTorch and Scikit-Learn.
A repository containing code examples from the popular Python Machine Learning book, covering topics like deep learning and scikit-learn.
Comprehensive machine learning repository with 30+ notebooks covering various ML concepts and techniques.
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