Showing 501-520 of 1,001 projects
A powerful debugging, monitoring and visualization tool for Python Machine Learning and Data Science workflows.
A fast and simple framework for building neural data processing pipelines using Python.
A flexible AutoML framework with learning guarantees for building high-performance AI models.
A curated collection of Python scripts from basics to advanced, including automation tasks.
An extremely lightweight implementation of GPT-2 in NumPy, useful for vibe coders building AI-powered apps.
Machine learning tutorials in Python3 for data science and deep learning
This repository provides the Chinese Simplified documentation for the TVM (Tensor Virtual Machine) framework, a popular open-source deep learning compiler stack.
A collection of Jupyter Notebooks providing tutorials and examples for machine learning and deep learning using Python and PyTorch.
Generates synthetic tabular data for machine learning and AI applications
An open machine learning course that covers a wide range of topics including computer vision, natural language processing, and reinforcement learning.
The fast.ai course notebooks, a resource for developers to learn deep learning and machine learning using the fastai library.
High-performance symbolic regression library for Python and Julia, with support for explainable AI.
A platform for developers to integrate ChatGPT with a custom knowledge base using the OP Stack (OpenAI + Pinecone Vector Database)
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
Catalyst is an accelerated deep learning R&D library for Python that supports a variety of AI and machine learning use cases.
TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.
A pure Python web app framework that allows developers to build apps without JavaScript, HTML, or CSS.
A Python library that provides superfast AI decision-making and intelligent multi-modal data processing.
A curated list of resources and projects related to quantum machine learning, algorithms, and frameworks.
Clean, robust, and unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms.
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