Search Results for "learning" - Page 99
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Showing 4197 open source projects for "learning"
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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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Top deep learning Github repositories
Top 200 deep learning Github repositories sorted by stars
Top-Deep-Learning is a curated repository that aggregates some of the most influential and widely used deep learning projects available on GitHub. Instead of providing its own machine learning models or frameworks, the project functions as an organized index that helps users discover high-quality deep learning repositories across different application domains. -
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Developer Roadmap Chinese
The roadmap to becoming a web developer in 2021
...You should have a better understanding of why a certain tool is more suitable for use in certain situations than others, and remember that the trend and popularity never mean that it is the most suitable tool for the task. These roadmaps cover all the learning content of the path below. Don't feel overwhelmed. If you are just getting started, you don't need to learn everything from the beginning. -
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libuwsc
A Lightweight and fully asynchronous WebSocket client library
A Lightweight and fully asynchronous WebSocket client library based on libev for Embedded Linux. And provide Lua-binding. libev tries to follow the UNIX toolbox philosophy of doing one thing only, as good as possible. -
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jk
Configuration as Code with ECMAScript
jk is pre-1.0, and as such, features, commands, and APIs inevitably will change. jk is a data templating tool designed to help write structured configuration files. The main idea behind jk is to use a general-purpose language for this task. They offer mature tooling, great runtimes, a well-established ecosystem, and many learning resources. jk uses Javascript and a runtime tailored for configuration. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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WebRTC-Experiment
WebRTC, WebRTC and WebRTC. Everything here is all about WebRTC
...Developers can study the examples to understand WebRTC APIs, signaling patterns, browser support, device detection, and peer-to-peer behavior. It is useful for prototyping browser-based communication apps and learning practical WebRTC implementation ideas. -
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IOV Weave
Easy-to-use SDK to build Tendermint ABCI applications
...More directly, it is based on the official cosmos-sdk, both the 0.8 release as well as the future 0.9 rewrite. Naturally, as I was the main author of 0.8. While both of those are extremely powerful and flexible and contain advanced features, they have a steep learning curve for novice users. Thus, this library aims to favor simplicity over power when there is a choice. -
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TensorNets
High level network definitions with pre-trained weights in TensorFlow
High level network definitions with pre-trained weights in TensorFlow (tested with 2.1.0 >= TF >= 1.4.0). Applicability. Many people already have their own ML workflows and want to put a new model on their workflows. TensorNets can be easily plugged together because it is designed as simple functional interfaces without custom classes. Manageability. Models are written in tf.contrib.layers, which is lightweight like PyTorch and Keras, and allows for ease of accessibility to every weight and... -
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Analyze
Draven's Blog
analyze is a collection of in-depth source code analyses of popular open source projects, primarily focused on programming languages, compilers, operating systems, and distributed systems. Maintained as a knowledge repository, it contains detailed write-ups that explain the internal mechanisms of complex software systems. The project is designed for developers and researchers who want to deepen their understanding of how widely used technologies are built and maintained. Each analysis breaks... -
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Java Sec Code
Java web common vulnerabilities and security code
Java sec code is a very powerful and friendly project for learning Java vulnerability code. This project can also be called Java vulnerability code. Each vulnerability type code has a security vulnerability by default unless there is no vulnerability. The relevant fix code is in the comments or code. Specifically, you can view each vulnerability code and comments. Due to the server expiration, the online demo site had to go offline. -
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threadandjuc
High performance three-high-import import system
threadandjuc is a Java learning repository focused on multithreading, concurrency, and JUC concepts. It is designed to help developers understand how Java concurrent programming works through examples, explanations, and practical project-style demonstrations. The project covers topics such as threads, locks, synchronization, thread pools, concurrent collections, and high-performance data handling. -
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Udeler
Udemy Course Downloader (GUI)
Udeler is an open source, cross-platform desktop application for downloading Udemy Courses. It makes viewing and learning from Udemy Courses a lot easier by downloading the courses to your desktop, allowing you to view them conveniently offline and at your own pace. Udeler downloads Udemy Courses straight to your Downloads folder, keeping the original structure of course content intact. It works a lot like most other download managers, but Udeler automates this process when downloading Udemy Courses. ... -
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NLP-progress
Repository to track the progress in Natural Language Processing (NLP)
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks. This document aims to track the progress in Natural Language Processing (NLP) and give an overview of the state-of-the-art (SOTA) across the most common NLP tasks and their corresponding datasets. It aims to cover both traditional and core NLP tasks such as dependency parsing and part-of-speech tagging as well as more recent ones such... -
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Intro to CSS 3D transforms
Introduction to CSS 3D transforms
...The repository is particularly useful for frontend developers looking to enhance user interfaces with dynamic visual effects. It also demonstrates how to combine multiple transformations to create more complex interactions. The project serves as both a learning resource and a reference for implementing 3D effects in web design. Overall, 3dtransforms highlights the potential of CSS for creating engaging and interactive user experiences. -
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ChainerRL
ChainerRL is a deep reinforcement learning library
ChainerRL (this repository) is a deep reinforcement learning library that implements various state-of-the-art deep reinforcement algorithms in Python using Chainer, a flexible deep learning framework. PFRL is the PyTorch analog of ChainerRL. ChainerRL has a set of accompanying visualization tools in order to aid developers' ability to understand and debug their RL agents. With this visualization tool, the behavior of ChainerRL agents can be easily inspected from a browser UI. ... -
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Python Machine Learning
The "Python Machine Learning (2nd edition)" book code repository
This repository accompanies the well-known textbook “Python Machine Learning, 2nd Edition” by Sebastian Raschka and Vahid Mirjalili, serving as a complete codebase of examples, notebooks, scripts and supporting materials for the book. It covers a wide range of topics including supervised learning, unsupervised learning, dimensionality reduction, model evaluation, deep learning with TensorFlow, and embedding models into web apps. -
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awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data
All lists are in alphabetical order. In the lists, maintained projects are prioritized vs not mantained. A repository is considered "not maintained" if the latest commit is > 1 year old, or explicitly mentioned by the authors. -
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Spinning Up in Deep RL
Educational resource to help anyone learn deep reinforcement learning
Welcome to Spinning Up in Deep RL! This is an educational resource produced by OpenAI that makes it easier to learn about deep reinforcement learning (deep RL). For the unfamiliar, reinforcement learning (RL) is a machine learning approach for teaching agents how to solve tasks by trial and error. Deep RL refers to the combination of RL with deep learning. At OpenAI, we believe that deep learning generally, and deep reinforcement learning specifically, will play central roles in the development of powerful AI technology. ... -
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A.I. Stock Trends With WEKA & TA-Lib
A Repository Of The Java Programs Presented in the Videos.
This is the open/public source code repository for the Java programs shown in the YouTube videos - A.I. Stock Trends With WEKA, TA-Lib and more https://www.youtube.com/channel/UCPxmgFZDS7F06UBBxH5b4mg -
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CrypTen
A framework for Privacy Preserving Machine Learning
CrypTen is a research framework developed by Facebook Research for privacy-preserving machine learning built directly on top of PyTorch. It provides a secure and intuitive environment for performing computations on encrypted data using Secure Multiparty Computation (SMPC). Designed to make secure computation accessible to machine learning practitioners, CrypTen introduces a CrypTensor object that behaves like a regular PyTorch tensor, allowing users to seamlessly apply automatic differentiation and neural network operations. ... -
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PureCSS Francine
HTML/CSS drawing in the style of an 18th-century oil painting
purecss-francine is a remarkable artistic and technical project created by Cyan Harlow, demonstrating how complex digital illustrations can be achieved using only HTML and CSS, without any JavaScript or images. The artwork, titled Francine, is a detailed portrait crafted purely through CSS shapes, gradients, and layering techniques. It showcases the expressive potential of front-end technologies and serves as both an educational example and a piece of digital art. The project emphasizes... -
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Newsvendor Model Simulation Spreadsheet
Excel Spreadsheet Model for Single Period Inventory Problems
...Spreadsheet modeling and applications: essentials of practical management science, South-Western Pub. Albright, S. C. W. C., Winston, W., & Zappe, C. (2010). Data analysis and decision making. Cengage Learning. Hill, A. V. (2011). The newsvendor problem. White Paper, 57-23. Lawrence, J. A., & Pasternack, B. A. (2002). Applied management science. Willey, Chichester. Microsoft. Office Dev Center (2017). Excel performance: Improving calculation per -
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TensorWatch
Debugging, monitoring and visualization for Python Machine Learning
TensorWatch is an open source debugging and visualization platform created by Microsoft Research to support machine learning, deep learning, and reinforcement learning workflows. It enables developers to observe training behavior in real time through interactive visualizations, primarily within Jupyter Notebook environments. The tool treats most data interactions as streams, allowing flexible routing, storage, and visualization of metrics generated during model training. ... -
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Weld
High-performance runtime for data analytics applications
...The language includes built-in constructs for expressing data-parallel operations, enabling efficient execution on modern hardware architectures. By combining operations from multiple libraries into a single optimized execution plan, Weld can significantly improve performance in analytics and machine learning pipelines. -
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Literature of Deep Learning for Graphs
A comprehensive collection of recent papers on graph deep learning
Literature of Deep Learning for Graphs is a curated repository that collects research papers and educational resources related to deep learning methods for graph-structured data. The project organizes important academic work covering topics such as graph neural networks, graph embeddings, knowledge graphs, and network representation learning. By structuring the literature into categories, the repository allows researchers to quickly identify influential papers in specific subfields of graph machine learning. -
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imgaug
Image augmentation for machine learning experiments
imgaug is a library for image augmentation in machine learning experiments. It supports a wide range of augmentation techniques, allows to easily combine these and to execute them in random order or on multiple CPU cores, has a simple yet powerful stochastic interface and can not only augment images but also key points/landmarks, bounding boxes, heatmaps and segmentation maps. Affine transformations, perspective transformations, contrast changes, gaussian noise, dropout of regions, hue/saturation changes, cropping/padding, blurring, etc. ...