Deep Learning
Showing 36 of 937 projects
A deep learning framework to pretrain and finetune any AI model at any scale with zero code changes.
A PyTorch wrapper that automates engineering boilerplate for scalable AI model training and deployment.
A visual roadmap outlining the skills, technologies, and learning paths to become an Artificial Intelligence expert in 2022.
A curated collection of papers and articles from companies sharing real-world data science and machine learning applications in production.
A ready-to-use OCR Python library supporting 80+ languages and popular writing scripts like Latin, Chinese, Arabic, and Cyrillic.
A curated repository of resources, tutorials, libraries, and tools for learning and applying data science to real-world problems.
A curated repository of resources, tutorials, libraries, and tools for learning and applying data science to real-world problems.
A curated repository of resources, tutorials, libraries, and tools for learning and applying data science to real-world problems.
A comprehensive collection of data science Python notebooks covering deep learning, machine learning, big data, visualization, and essential tools.
A top-down, hands-on daily study plan for software engineers transitioning into machine learning roles.
A curated list of awesome deep learning tutorials, projects, and communities.
A curated list of awesome deep learning tutorials, projects, and communities.
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A deep learning tool for upscaling and denoising anime-style images and photos using convolutional neural networks.
A deep learning library built on PyTorch that provides high-level components for rapid results and low-level components for research flexibility.
A deep learning library built on PyTorch that provides high-level components for rapid results and low-level components for research flexibility.
An open-source data labeling tool for annotating audio, text, images, videos, and time series with a simple UI and standardized output.
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
An open source neural network framework in C and CUDA, known for YOLO real-time object detection models.
Facebook AI Research's software system implementing state-of-the-art object detection algorithms like Mask R-CNN and RetinaNet.
A curated list of the top 100 most cited deep learning papers from 2012-2016, serving as a foundational reading list.
A unified Python library for explaining any machine learning model's predictions using Shapley values from game theory.
Jupyter notebooks with example code and exercises from the first edition of Hands-on Machine Learning with Scikit-Learn and TensorFlow.
The fastai book, published as Jupyter Notebooks, provides an introduction to deep learning, fastai, and PyTorch.
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
LaTeX code and Python interface for creating publication-quality neural network architecture diagrams.
A fast, memory-efficient reimplementation of OpenAI's Whisper speech-to-text model using CTranslate2.
An industrial deep learning framework supporting unified dynamic/static graphs, automatic parallelism, and integrated training/inference for large models.
An industrial deep learning framework from China supporting unified dynamic/static graphs, automatic parallelism, and integrated training/inference for large models.
A PyTorch library for building and training Graph Neural Networks (GNNs) on structured and irregular data.
A comprehensive library for building and training Graph Neural Networks (GNNs) with PyTorch.
A high-performance neural network inference framework optimized for mobile platforms, enabling efficient AI deployment on edge devices.
A curated list of awesome computer vision resources, including papers, datasets, software, and tutorials.
A curated list of awesome computer vision resources, including papers, datasets, software, and courses.
A lightweight Python library for face recognition and facial attribute analysis (age, gender, emotion, race) with a unified API.
A repository of examples, utilities, and best practices for building and deploying production-ready recommendation systems.
An open standard format for representing machine learning models to enable interoperability between frameworks.
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