Explore top AI and software frameworks for building intelligent applications. Get insights on tools, libraries, and best practices
1. Introduction Dash is an open-source Python framework for building interactive, data-driven web applications. Developed by Plotly, Dash is specifically designed for creating dashboards...
1. Introduction Streamlit is an open-source Python framework designed for building interactive and data-driven web applications. It allows developers to create web apps for...
1. Introduction Flask is a lightweight and flexible Python web framework designed for building web applications and APIs. Unlike Django, Flask follows a “micro-framework”...
1. Introduction Theano is an open-source Python library for numerical computation, particularly designed for deep learning and scientific computing. It allows users to define,...
1. Introduction TensorFlow Probability (TFP) is an open-source Python library built on TensorFlow, designed for probabilistic programming and statistical inference. It provides tools for...
1. Introduction PyMC is an open-source Python library for probabilistic programming and Bayesian statistical modeling. It allows users to define complex probabilistic models using...
1. Introduction Seaborn is an open-source Python library built on top of Matplotlib, designed for creating attractive and informative statistical graphics. It simplifies the...
1. Introduction Pandas is an open-source Python library designed for data manipulation and analysis. It provides data structures like DataFrame and Series that are...
1. Introduction DeepChem is an open-source Python library designed for applying machine learning to drug discovery, quantum chemistry, and material science. It provides tools...
1. Introduction PySCF is an open-source Python library for quantum chemistry simulations. It provides a comprehensive set of tools for electronic structure calculations, including...
1. Introduction PyTorch Geometric (PyG) is an open-source library for building and training graph neural networks (GNNs) using PyTorch. It provides tools for working...
1. Introduction DGL (Deep Graph Library) is an open-source Python library designed for building and training graph neural networks (GNNs). It provides a flexible...
1. Introduction OpenMM is an open-source toolkit for molecular dynamics simulations, designed to enable high-performance computations on GPUs and CPUs. It is widely used...
1. Introduction AlphaTensor, developed by DeepMind, is a groundbreaking AI system designed to discover efficient algorithms for matrix multiplication. Matrix multiplication is a fundamental...
1. Introduction JAX MD is an open-source library developed by DeepMind for performing molecular dynamics simulations using JAX. It combines the power of physics-based...
1. Introduction DeepSpeed, developed by Microsoft, is a deep learning optimization library designed to enable efficient training of large-scale models. It provides tools for...
