Search Results for "learning" - Page 94
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Showing 4197 open source projects for "learning"
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chibicc
A small C compiler
chibicc is a small yet highly capable C compiler designed to implement most features of the C11 standard while maintaining a clean and educational codebase. It is intended as both a functional compiler and a learning resource, allowing developers to understand how compilers work by reading and studying its implementation. Despite being categorized as a “toy” compiler, it is powerful enough to compile real-world programs such as Git, SQLite, and libpng without modification. The project is structured incrementally, with each commit representing a step in building a full compiler, making it particularly valuable for educational purposes. ... -
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Libra
Ergonomic machine learning for everyone
An ergonomic machine learning library for non-technical users. Save time. Blaze through ML. -
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NLP Architect
A model library for exploring state-of-the-art deep learning
NLP Architect is an open-source Python library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing and Natural Language Understanding neural networks. The library includes our past and ongoing NLP research and development efforts as part of Intel AI Lab. NLP Architect is designed to be flexible for adding new models, neural network components, data handling methods, and for easy training and running models. -
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TFLearn
Deep learning library featuring a higher-level API for TensorFlow
...Easy and beautiful graph visualization, with details about weights, gradients, activations, and more. Effortless device placement for using multiple CPU/GPU. The high-level API currently supports the most of the recent deep learning models, such as Convolutions, LSTM, BiRNN, BatchNorm, etc. -
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cxmooc-tools
Fully automatic tasks, video double-speed seconds
A Superstar (Learning Pass) / Wisdom Tree (Knowing) / Chinese University mooc learning tools, Firefox, Google, Oil Monkey support. Fully automatic tasks, video double-speed seconds, homework exam question bank, automatic verification code coding. After the 2.1 version, it began to support the wisdom tree, and after the 2.2 version, it began to support the mooc name of Chinese universities. -
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Laravel Mix
The power of webpack, distilled for the rest of us
...Webpack is an incredibly powerful module bundler that prepares your JavaScript and assets for the browser. The only understandable downside is that it requires a bit of a learning curve. In an effort to flatten that curve, Mix is a thin layer on top of webpack for the rest of us. It exposes a simple, fluent API for dynamically constructing your webpack configuration. Mix targets the 80% usecase. If, for example, you only care about compiling modern JavaScript and triggering a CSS preprocessor, Mix should be right up your alley. ... -
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Robust Tube MPC
Example implementation for robust model predictive control using tube
robust-tube-mpc is a MATLAB implementation of robust tube-based Model Predictive Control (MPC). The framework provides tools to design and simulate controllers that maintain stability and constraint satisfaction in the presence of bounded disturbances. Tube-based MPC achieves robustness by combining a nominal trajectory planner with an error feedback controller that keeps the actual system state within a "tube" around the nominal trajectory. This repository includes example scripts and... -
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OpenPose
Real-time multi-person keypoint detection library for body, face, etc.
OpenPose has represented the first real-time multi-person system to jointly detect human body, hand, facial, and foot keypoints (in total 135 keypoints) on single images. It is authored by Ginés Hidalgo, Zhe Cao, Tomas Simon, Shih-En Wei, Yaadhav Raaj, Hanbyul Joo, and Yaser Sheikh. It is maintained by Ginés Hidalgo and Yaadhav Raaj. OpenPose would not be possible without the CMU Panoptic Studio dataset. We would also like to thank all the people who has helped OpenPose in any way. 15, 18 or... -
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Lambda Networks
Implementation of LambdaNetworks, a new approach to image recognition
Implementation of λ Networks, a new approach to image recognition that reaches SOTA on ImageNet. The new method utilizes λ layer, which captures interactions by transforming contexts into linear functions, termed lambdas, and applying these linear functions to each input separately. Shinel94 has added a Keras implementation! It won't be officially supported in this repository, so either copy / paste the code under ./lambda_networks/tfkeras.py or make sure to install tensorflow and keras... -
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OpenAI Glow
Copy code in "Glow: Generative Flow with Invertible 1x1 Convolutions"
...The repository provides training code, pretrained models, and scripts for generating samples or reproducing key results from the original research. Glow is primarily intended for researchers and practitioners exploring generative modeling, likelihood-based training, and interpretable deep learning systems. -
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Dysgu presents an innovative approach to out-of-class activities by combining multiple dimensions of best practices from different spectrum of student learning into a coherent idea and delivering such activities with personalization and adaptation. The goal of the Dysgu system is to study the impact of frequent out-of-class activities on student learning and engagement where the activities are interactive in nature, smaller with scaffolding support, personalized and delivered via a mobile platform.
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Effective TensorFlow 2
TensorFlow tutorials and best practices
...Through examples and explanations, the project highlights how developers can structure machine learning code to improve readability and maintainability. The tutorials emphasize both conceptual understanding and implementation details so that users can build more robust deep learning systems. -
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Tensorflow 2017 Tutorials
Tensorflow tutorial from basic to hard
...This repository covers essential building blocks like sessions (for older TF versions), placeholders, variables, activation functions, and optimizers, before guiding learners through building end-to-end models for regression, classification, and data pipelines. Beyond the basics, the project includes examples of convolutional neural networks, recurrent networks, autoencoders, reinforcement learning, generative adversarial networks, and transfer learning workflows. By pairing code examples with conceptual explanations, the tutorials make abstract machine learning ideas accessible and encourage experimentation with TensorBoard visualization and distributed training. -
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GIMP ML
AI for GNU Image Manipulation Program
...In addition, GIMP-ML also aims to bring the benefits of using deep learning networks used for computer vision tasks to routine image processing workflows. -
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Geroes is a deep learning-based system dedicated to evaluating gene contribution in defining tissue specificity.
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PyArmadillo
linear algebra library for Python
PyArmadillo - streamlined linear algebra library for Python, with emphasis on ease of use. Alternative to NumPy / SciPy. * Main page: https://pyarma.sourceforge.io * Documentation: https://pyarma.sourceforge.io/docs.html * Bug reports: https://pyarma.sourceforge.io/faq.html * Git repo: https://gitlab.com/jason-rumengan/pyarma -
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CyC2018.github.io
Personal knowledge site built with GitHub Pages
...Because the site is generated from a repository, it benefits from issue tracking, pull requests, and version history, making it easy to update and maintain. The structure encourages incremental learning: you can dip into a topic, follow internal links, and return later with a clear sense of progress. It doubles as both a study guide for learners and a quick reference for practitioners revisiting fundamentals. -
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Mega Project List
List of practical projects that anyone can solve in any prog language
Mega Project List by Karan Goel is a massive list of practical programming project ideas that anyone can solve in any programming language, organized into logical categories (Numbers, Classic Algorithms, Data Structures, Text, Networking, Web, Files, Graphics & Multimedia, Security, etc.). The concept is simple but powerful: instead of just memorizing algorithms, you pick a project (for example “Binary to Decimal and Back Converter”), implement it in your favorite language, and gradually... -
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Amazon SageMaker Examples
Jupyter notebooks that demonstrate how to build models using SageMaker
Welcome to Amazon SageMaker. This projects highlights example Jupyter notebooks for a variety of machine learning use cases that you can run in SageMaker. If you’re new to SageMaker we recommend starting with more feature-rich SageMaker Studio. It uses the familiar JupyterLab interface and has seamless integration with a variety of deep learning and data science environments and scalable compute resources for training, inference, and other ML operations. -
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fastNLP
fastNLP: A Modularized and Extensible NLP Framework
fastNLP is a lightweight framework for natural language processing (NLP), the goal is to quickly implement NLP tasks and build complex models. A unified Tabular data container simplifies the data preprocessing process. Built-in Loader and Pipe for multiple datasets, eliminating the need for preprocessing code. Various convenient NLP tools, such as Embedding loading (including ELMo and BERT), intermediate data cache, etc.. Provide a variety of neural network components and recurrence models... -
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Naxsi
Open-source, high performance, low rules maintenance WAF for NGINX
...Being very simple, those patterns may match legitimate queries, it is Naxsi's administrator duty to add specific rules that will whitelist legitimate behaviors. The administrator can either add whitelists manually by analyzing nginx's error log, or (recommended) start the project with an intensive auto-learning phase that will automatically generate whitelisting rules regarding a website's behavior. In short, Naxsi behaves like a DROP-by-default firewall, the only task is to add required ACCEPT rules for the target website to work properly. -
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Turi Create
Simplifies the development of custom machine learning models
Turi Create simplifies the development of custom machine learning models. You don't have to be a machine learning expert to add recommendations, object detection, image classification, image similarity or activity classification to your app. If you want your app to recognize specific objects in images, you can build your own model with just a few lines of code. Turi Create supports macOS 10.12+, Linux (with glibc 2.10+), Windows 10 (via WSL). -
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jsoncat
Lightweight HTTP framework built in Java
...Because it avoids heavy abstractions and auto-magical configuration, it’s suited to developers who want to understand what happens beneath frameworks rather than just use them. The code has detailed comments (recently translated or annotated for Chinese readers), making it a practical study project for learning network programming, middleware design, and handler chains. Projects like this are especially useful for backend engineers or Java learners who want to demystify how web servers and routing frameworks work at a low level. -
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Multi-Agent Emergence Environments
Environment generation code for the paper "Emergent Tool Use"
multi-agent-emergence-environments is an open source research environment framework developed by OpenAI for the study of emergent behaviors in multi-agent systems. It was designed for the experiments described in the paper and blog post “Emergent Tool Use from Multi-Agent Autocurricula”, which investigated how complex cooperative and competitive behaviors can evolve through self-play. The repository provides environment generation code that builds on the mujoco-worldgen package, enabling... -
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Spring Cloud Tutorial
Spring Cloud Basics Tutorial, continuously updated
SpringCloud-Learning is a tutorial repository containing runnable examples for building microservice systems with Spring Cloud. Its code is organized around several framework generations, including Brixton, Dalston, Edgware, and Finchley. The lessons cover service registration, discovery, client communication, distributed configuration, gateways, and fault tolerance.
