Search Results for "learning" - Page 68
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Showing 4736 open source projects for "learning"
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TensorFlow Privacy
Library for training machine learning models with privacy for data
Library for training machine learning models with privacy for training data. This repository contains the source code for TensorFlow Privacy, a Python library that includes implementations of TensorFlow optimizers for training machine learning models with differential privacy. The library comes with tutorials and analysis tools for computing the privacy guarantees provided. -
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MeloTTS
High-quality multi-lingual text-to-speech library by MyShell.ai
MeloTTS is an open-source text-to-speech (TTS) system that generates natural-sounding speech from text input. It utilizes advanced machine-learning models to produce high-quality audio outputs. -
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Improved Diffusion
Release for Improved Denoising Diffusion Probabilistic Models
...It includes scripts for setting up training runs, generating samples, and reproducing results from OpenAI’s research on diffusion-based generation. The implementation is intended for researchers and practitioners who want to explore the theoretical and practical aspects of diffusion models in deep learning. By making this code available, OpenAI provides a foundation for further experimentation and development in generative modeling research. -
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TorchQuantum
A PyTorch-based framework for Quantum Classical Simulation
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers. Researchers on quantum algorithm design, parameterized quantum circuit training, quantum optimal control, quantum machine learning, and quantum neural networks. Dynamic computation graph, automatic gradient computation, fast GPU support, batch model terrorized processing. -
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MATLAB and Simulink for Students
An awesome list of helpful resources for students learning MATLAB
Are you a new MATLAB user seeking helpful tips and tricks? Are you a member of a student society in search of engaging workshops? Or perhaps you're looking for opportunities to test your MATLAB skills through student competitions or challenges? Look no further! Our awesome list repository below is a resource that caters to all these needs. Whether you're starting from scratch or aiming to enhance your existing knowledge, you'll find a wealth of information to help you learn MATLAB and make... -
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PyTextRank
Python implementation of TextRank algorithms
PyTextRank is a Python implementation of TextRank as a spaCy pipeline extension, for graph-based natural language work -- and related knowledge graph practices. -
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TensorHouse
A collection of reference Jupyter notebooks and demo AI/ML application
TensorHouse is a scalable reinforcement learning (RL) platform that focuses on high-throughput experience generation and distributed training. It is designed to efficiently train agents across multiple environments and compute resources. TensorHouse enables flexible experiment management, making it suitable for large-scale RL experiments in both research and applied settings. -
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Azure Zero to Hero Course
Repository to learn Azure from Zero
Azure Zero to Hero Course is a comprehensive, day-by-day course repository designed to teach Azure fundamentals and practical skills from the ground up, targeted especially at aspiring DevOps engineers. The README is structured as a multi-day curriculum: early days cover cloud concepts, terminology, and Azure basics such as regions, availability zones, resource groups, and VM creation. Subsequent days dive into networking (VNets, subnets, NSGs, load balancers, firewalls), storage services,... -
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DeiT (Data-efficient Image Transformers)
Official DeiT repository
...The project provides compact ViT variants (Tiny/Small/Base) that achieve excellent accuracy–throughput trade-offs, making transformers practical beyond massive pretraining regimes. Training involves carefully tuned augmentations, regularization, and optimization schedules to stabilize learning and improve sample efficiency. The repo offers pretrained checkpoints, reference scripts, and ablation studies that clarify which ingredients matter most for data-efficient ViT training. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Featureform
Turn your existing data infrastructure into a feature store
Featureform allows data scientists to define, manage, and serve machine learning features across your organization. The days of untitled_128.ipynb are over. Transformations, features, and training sets can be pushed from notebooks to a centralized feature repository with metadata like name, variant, lineage, and owner. Featureform's Virtual Feature Store architecture orchestrates your data infrastructure to build and maintain your training sets and production features. -
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Autodistill
Images to inference with no labeling
Autodistill uses big, slower foundation models to train small, faster supervised models. Using autodistill, you can go from unlabeled images to inference on a custom model running at the edge with no human intervention in between. You can use Autodistill on your own hardware, or use the Roboflow hosted version of Autodistill to label images in the cloud. -
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TensorFlow Hub
A library for transfer learning by reusing parts of TensorFlow models
...These models can be loaded directly into TensorFlow pipelines and fine-tuned for new tasks using transfer learning techniques. The repository supports contributions from the community, allowing developers to submit models that become available for use by other machine learning practitioners. By enabling reusable model modules, TensorFlow Hub significantly reduces development time and computational cost when building machine learning systems. -
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gopkg
Example for the go pkg's function
gopkg is a large community-driven repository of examples for Go’s standard library packages, created to fill the gap left by the relatively sparse official examples. The project organizes content so that each package has its own directory and each function within that package gets its own Markdown file with code examples. The idea is that developers can quickly look up “how do I actually use this function?” without digging through source code or scattered blog posts. The maintainer provides... -
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Neural Networks: Zero to Hero
A course on neural networks that starts all the way at the basics
Neural Networks: Zero to Hero is Andrej Karpathy’s educational course repository for learning neural networks from the ground up. It accompanies a series of video lectures where learners code and train neural networks step by step. The project starts from basic concepts and gradually builds toward more capable character-level language models. Its notebooks are written to make the mechanics visible, so learners can understand gradients, backpropagation, embeddings, multilayer perceptrons, batch normalization, and Transformer-style ideas through code. ... -
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OpenAI Quickstart Python
Python example app from the OpenAI API quickstart tutorial
openai-quickstart-python is an official OpenAI repository containing multiple Python quickstart applications that demonstrate how to use different OpenAI API endpoints, including Chat and Assistants. It provides practical, beginner-friendly examples to help developers quickly learn how to send requests, handle responses, and build basic applications using the OpenAI Python SDK. The examples folder includes small, self-contained projects showcasing common use cases like chat completions, tool... -
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ML YouTube Courses
Discover the latest machine learning / AI courses on YouTube
ML YouTube Courses is a curated index of high-quality machine learning and AI courses available on YouTube, designed to make open education easier to discover and navigate. The repository organizes lectures from top universities and educators into a structured list so learners can quickly find reputable material. It covers a wide range of topics including deep learning, NLP, probabilistic modeling, reinforcement learning, and computer vision. -
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Vanilla Web Projects
Mini projects built with HTML5, CSS & JavaScript
vanillawebprojects is a collection of small, hands-on web apps built with only HTML, CSS, and plain JavaScript to teach core front-end skills without frameworks. Each project targets a concrete concept—DOM manipulation, events, localStorage, fetch, form validation, audio/video APIs, and more—so learners see ideas applied in working code. The codebases are intentionally compact and readable, making them easy to clone, tweak, and extend. Projects progress from beginner-friendly to moderately... -
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eBook
LaTeX book with examples, open-source eBook
...This comprehensive guide covers a lot of essentials and is written in a clear and concise style, showing the result vs code. Plus, it's #opensource and freely available, creating a collaborative learning environment. In this book the I try to reveal how you can find necessary pieces of TeX code looking only at already done work. If you want to create high-quality documents with LaTeX, check out the LaTaX book on GitHub, and feel free to ask any questions you have. -
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Wikipedia2Vec
A tool for learning vector representations of words and entities
Wikipedia2Vec is an embedding learning tool that creates word and entity vector representations from Wikipedia, enabling NLP models to leverage structured and contextual knowledge. -
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OnnxStream
Lightweight inference library for ONNX files, written in C++
The challenge is to run Stable Diffusion 1.5, which includes a large transformer model with almost 1 billion parameters, on a Raspberry Pi Zero 2, which is a microcomputer with 512MB of RAM, without adding more swap space and without offloading intermediate results on disk. The recommended minimum RAM/VRAM for Stable Diffusion 1.5 is typically 8GB. Generally, major machine learning frameworks and libraries are focused on minimizing inference latency and/or maximizing throughput, all of which at the cost of RAM usage. So I decided to write a super small and hackable inference library specifically focused on minimizing memory consumption: OnnxStream. OnnxStream is based on the idea of decoupling the inference engine from the component responsible for providing the model weights, which is a class derived from WeightsProvider. ... -
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BA_PY
BA_PY: Optimize Your Workflow with Python!
mbapy is a Python package that includes a collection of useful Python scripts as sub-modules, and it's goal is Basic for All in Python. mbapy primarily focus on data works, including data-retrieval, data-management, data-visualization, data-analysis and data-computation. It is built for both python-users and command-line-users. -
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Computer vision projects
computer vision projects | Fun AI projects related to computer vision
...Many of the projects illustrate how computer vision algorithms can interact with hardware platforms, including robotics systems and edge computing devices. The repository provides examples that combine machine learning models with real-world applications such as robotic arms, video analysis, and automated visual measurement systems. -
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Django LMS
A learning management system using django web framework
django-lms is an open-source Learning Management System (LMS) built with Django and designed for ease of use and extensibility. It allows administrators to manage courses, lessons, quizzes, and users in an educational environment. The project includes a clean UI and backend tools to help educators create and track learning content. -
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Sonnet
TensorFlow-based neural network library
Sonnet is a neural network library built on top of TensorFlow designed to provide simple, composable abstractions for machine learning research. Sonnet can be used to build neural networks for various purposes, including different types of learning. Sonnet’s programming model revolves around a single concept: modules. These modules can hold references to parameters, other modules and methods that apply some function on the user input. There are a number of predefined modules that already ship with Sonnet, making it quite powerful and yet simple at the same time. ... -
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dinrhiw2-180824-sync
Dinrhiw2 is open source machine learning library.
Dinrhiw2 is open source machine learning library.