Showing 36 of 2163 projects
A curated guide to learning machine learning with Python and Jupyter Notebook, featuring courses, notebooks, and practical resources.
A differentiable computer vision library for PyTorch, providing geometric vision and image processing algorithms for AI workflows.
A Python library for building custom machine learning models for tasks like image classification, object detection, and recommendations.
An open-source tool for exploring and publishing data as interactive websites and APIs.
A NumPy/SciPy-compatible array library for GPU-accelerated computing with Python, supporting NVIDIA CUDA and AMD ROCm.
An interactive analytics and data visualization component for large and streaming datasets, with a high-performance WebAssembly engine.
An open-source SDK for logging, storing, querying, and visualizing multimodal, time-series data like images, point clouds, and tensors.
A Python framework for creating reproducible, maintainable, and modular data engineering and data science pipelines.
A command-line tool that instantly fetches coding answers from Stack Overflow without leaving the terminal.
A Python library for generating common, artistic, and animated GIF QR codes with customization options.
A lightweight ASGI web server implementation for Python, supporting HTTP/1.1 and WebSockets.
A lightweight ASGI web server implementation for Python, supporting HTTP/1.1 and WebSockets.
A collection of webshell scripts in various languages for security testing and research purposes.
A Clojure-inspired Lisp interpreter implemented in 89+ languages as an incremental learning tool.
A simple Python library for queueing jobs and processing them in the background with workers, backed by Redis/Valkey.
A Python WSGI HTTP Server for UNIX, designed for fast clients and sleepy applications.
An open-source embedded retrieval library for multimodal AI, offering fast vector search, SQL, and full-text search.
A GDB and LLDB plug-in that enhances debugging for exploit development, reverse engineering, and low-level software development.
A framework for elegantly configuring complex applications, particularly in machine learning and research.
A declarative statistical visualization library for Python built on Vega-Lite.
A declarative statistical visualization library for Python built on Vega-Lite, enabling interactive charts with minimal code.
A drop-in replacement for pandas that scales data analysis workflows to use all CPU cores and handle out-of-memory datasets.
Code examples and tutorials for Stanford's TensorFlow for Deep Learning Research course (CS 20).
A browser-based frontend to gdb (GNU debugger) for C, C++, Go, Rust, and Fortran debugging.
An ultra-performant data transformation framework for AI, with incremental processing and data lineage built-in.
A comprehensive resource of deep learning techniques and models for analyzing satellite and aerial imagery.
A Python library that enhances print debugging by automatically printing variable names and values with syntax highlighting.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A collection of Python scripts for backtesting quantitative trading strategies, including technical indicators, options strategies, and quantamental analysis.
A community-driven collection of data science interview questions and answers covering theory, technical skills, and probability.
A pure-Python PDF library for splitting, merging, cropping, transforming, and extracting data from PDF files.
A TensorFlow 2 library providing simple, composable abstractions for machine learning research via the snt.Module concept.
A deep reinforcement learning library offering high-quality, single-file implementations of algorithms like PPO, DQN, and SAC for research and education.
An open-source monetization platform for developers to sell SaaS, digital products, and subscriptions.
A Python library for performing data science and machine learning on data without direct access, using remote datasites.
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