Showing 301-320 of 1,983 projects
Unified, production-ready inference API to run open-source, speech, and multimodal models on cloud, on-prem, or your laptop.
A powerful command-line tool for macOS developers to automate and optimize common tasks on their machines.
Versatile database for AI, supporting storage, querying, versioning, and visualization of any AI data.
A deep universal probabilistic programming library for Python and PyTorch, enabling Bayesian machine learning.
Multipass is a tool that orchestrates virtual Ubuntu instances for developers across different platforms.
Curated list of Machine Learning, NLP, Vision, and Recommender Systems project ideas for developers.
A comprehensive repository for interview preparation, including guides, algorithms, and code analysis.
This repository provides the latest state-of-the-art results for a wide range of machine learning problems.
An interactive visualization tool for learning Convolutional Neural Networks (CNNs) and deep learning.
A Python library that empowers developers to build applications and systems with self-contained computer vision capabilities.
A powerful Python library for web mining, natural language processing, and data visualization.
A collection of machine learning examples and tutorials for data scientists and ML engineers.
A high-performance gradient boosting library for machine learning tasks on CPUs and GPUs.
NSFW detection on the client-side via TensorFlow.js for content moderation and filtering.
An in-memory cache library for Go, suitable for single-machine applications.
ModelScope is an open-source AI framework that brings the notion of Model-as-a-Service to life, providing a comprehensive suite of tools for building, deploying, and managing AI models.
A JavaScript finite state machine library for building complex state-based logic in web applications.
A guide to deploying deep-learning inference networks and computer vision primitives with NVIDIA Jetson hardware and TensorRT.
A comprehensive collection of study materials for deep learning interviews, covering various topics like machine learning, computer vision, and NLP.
A collection of machine learning blogs and code samples, focused on algorithms, reinforcement learning, and scikit-learn.
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