Machine Learning
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An open-source AI memory tool that captures your screen and audio locally, enabling search and automation agents based on your computer activity.
An open-source AI memory tool that records your screen and audio locally, enabling search and automation agents based on your computer activity.
A fast, distributed gradient boosting framework based on decision tree algorithms for ranking, classification, and other ML tasks.
A fast, distributed gradient boosting framework based on decision tree algorithms for ranking, classification, and other machine learning tasks.
A framework and open-source registry for evaluating large language models (LLMs) and LLM systems.
A comprehensive library for post-training foundation models using reinforcement learning and fine-tuning techniques.
Open-source AI platform for building private agents, assistants, and enterprise search with document analysis and multi-model support.
A JavaScript API for face detection, recognition, and analysis in the browser and Node.js using TensorFlow.js.
A topic-wise curated list of machine learning and deep learning tutorials, articles, and resources for developers and data scientists.
A curated collection of tutorials, articles, and resources for learning machine learning and deep learning topics.
A PyTorch library providing datasets, model architectures, and image transformations for computer vision tasks.
Code samples and implementations from the book 'Neural Networks and Deep Learning' for educational purposes.
A unified deep learning toolkit for describing neural networks as computational graphs, supporting feed-forward DNNs, CNNs, and RNNs/LSTMs.
A curated list of awesome TensorFlow experiments, libraries, projects, tutorials, and resources.
A curated list of awesome TensorFlow experiments, libraries, projects, tutorials, and resources.
A deprecated wrapper that enabled Docker containers to access NVIDIA GPU resources.
A curated index of the latest and best machine learning and AI courses available on YouTube, organized by topic.
A collection of hands-on tutorials and practical examples for using Google's Gemini API across text, image, video, audio, and robotics applications.
An open-source Python quantitative trading system supporting stocks, options, futures, and cryptocurrencies with integrated machine learning.
A community-maintained list of entry-level software engineering, product management, quant, and tech jobs for new graduates.
An open source container-native workflow engine for orchestrating parallel jobs on Kubernetes.
A Python library for topic modeling, document indexing, and similarity retrieval with large corpora.
A Python library for topic modeling, document indexing, and similarity retrieval with large text corpora.
A comprehensive collection of machine learning algorithms implemented exclusively in NumPy for educational purposes and prototyping.
An open-source, cloud-native vector database that combines semantic search with structured filtering for AI applications.
Lecture materials and slides for the University of Oxford's 2017 advanced course on Deep Natural Language Processing.
An industry-leading open-source data engine for interactive video and image annotation to power machine learning.
A composable, modular, and scalable machine learning toolkit for building AI platforms on Kubernetes.
A comprehensive open-source toolkit for speech recognition research and development.
A fast and flexible Python library for image augmentation in computer vision tasks like classification, segmentation, and object detection.
A single-file memory layer for AI agents, replacing complex RAG pipelines with serverless, instant retrieval and long-term memory.
A blazing-fast, lightweight deep learning inference engine from Alibaba, optimized for on-device LLMs and Edge AI.
A Rust-based deep learning framework and tensor library optimized for flexibility, efficiency, and cross-platform portability.
GPU-accelerated neural network library for JavaScript, running in browsers and Node.js.
A collection of implementations and illustrative code accompanying DeepMind's published research papers across AI and scientific domains.
A collection of implementations and illustrative code accompanying DeepMind's published research papers across AI and machine learning.
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