Showing 121-140 of 1,001 projects
A neural network that transforms design mockups into static websites, for developers building with AI tools.
Argo Workflows is a powerful open-source workflow engine for Kubernetes, enabling complex data processing and machine learning pipelines.
An AI-powered quantitative investment research platform for algorithmic trading and backtesting.
A comprehensive list of PyTorch-related content on GitHub, including models, libraries, and tutorials.
An advanced natural language processing (NLP) library for topic modeling, text analysis, and word embeddings in Python.
A tutorial on deep learning by renowned professor Li Hongy, covering a wide range of AI and machine learning topics.
Open-source quantitative trading system for stocks, options, futures, and Bitcoin, built with machine learning.
A comprehensive machine learning library in Python with implementations of various algorithms and models.
A deep learning model that converts images of mathematical equations into LaTeX code.
This repository contains lecture materials for a course on deep learning and natural language processing from the University of Oxford.
A curated list of awesome Kubernetes resources for developers working with container orchestration.
Kubeflow is a machine learning toolkit for building and deploying scalable ML pipelines on Kubernetes.
dvc is a data versioning and ML experiments tool that helps developers manage and track data and model changes.
A comprehensive collection of cheat sheets for deep learning and machine learning researchers.
This repository is an archived collection of papers and code related to computer vision and machine learning.
Fast and flexible image augmentation library for computer vision and machine learning projects.
A curated collection of resources for machine learning, deep learning, and distributed systems development.
An open-source Python library for image augmentation in machine learning experiments.
A comprehensive list of Generative Adversarial Networks (GANs) for developers working with AI tools.
Distributed training framework for deep learning models using popular ML libraries like TensorFlow, Keras, PyTorch, and MXNet.
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