Machine Learning
Showing 36 of 1845 projects
An automatic forecasting procedure for time series data with multiple seasonality and linear or non-linear growth.
Comprehensive cheatsheets and refreshers covering all key concepts from Stanford's CS 229 Machine Learning course.
A research project exploring machine learning for generating music, images, and art using deep learning and reinforcement learning.
A hardware-accelerated JavaScript library for training and deploying machine learning models in browsers and Node.js.
A hardware-accelerated JavaScript library for training and deploying machine learning models in the browser and Node.js.
A decentralized graph database and synchronization protocol for building real-time, offline-first applications with end-to-end encryption.
A framework and open-source registry for evaluating large language models (LLMs) and LLM systems.
A Python framework for computing and training state-of-the-art text embeddings, rerankers, and sparse encoders.
A comprehensive library for post-training foundation models using reinforcement learning and fine-tuning techniques.
A curated list of resources dedicated to Natural Language Processing (NLP), including libraries, datasets, tutorials, and research.
A fast, distributed gradient boosting framework based on decision tree algorithms for ranking, classification, and other machine learning tasks.
A fast, distributed gradient boosting framework based on decision tree algorithms for ranking, classification, and other ML tasks.
A curated collection of tutorials, articles, and resources for learning machine learning and deep learning topics.
A topic-wise curated list of machine learning and deep learning tutorials, articles, and resources for developers and data scientists.
Open-source AI platform for building private agents, assistants, and enterprise search with document analysis and multi-model support.
An open-source Python quantitative trading system supporting stocks, options, futures, and cryptocurrencies with integrated machine learning.
A JavaScript API for face detection, recognition, and analysis in the browser and Node.js using TensorFlow.js.
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 deprecated wrapper that enabled Docker containers to access NVIDIA GPU resources.
A collection of hands-on tutorials and practical examples for using Google's Gemini API across text, image, video, audio, and robotics applications.
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 community-maintained list of entry-level software engineering, product management, quant, and tech jobs for new graduates.
A curated index of the latest and best machine learning and AI courses available on YouTube, organized by topic.
An open source container-native workflow engine for orchestrating parallel jobs on Kubernetes.
An open-source, cloud-native vector database that combines semantic search with structured filtering for AI applications.
A Python library for topic modeling, document indexing, and similarity retrieval with large text corpora.
A Python library for topic modeling, document indexing, and similarity retrieval with large corpora.
An industry-leading open-source data engine for interactive video and image annotation to power machine learning.
A comprehensive collection of machine learning algorithms implemented exclusively in NumPy for educational purposes and prototyping.
A single-file memory layer for AI agents, replacing complex RAG pipelines with serverless, instant retrieval and long-term memory.
Lecture materials and slides for the University of Oxford's 2017 advanced course on Deep Natural Language Processing.
An open-source framework for applying deep reinforcement learning to quantitative finance, featuring a train-test-trade pipeline for stock and crypto trading.
A composable, modular, and scalable machine learning toolkit for building AI platforms on Kubernetes.
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