Search Results for "learning" - Page 81
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Showing 4736 open source projects for "learning"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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System Design Notebook
Learn System Design step by step
System Design Notebook is a structured, personal knowledge base for learning and practicing system design, written in a way that mirrors real interview and on-the-job thinking. Instead of being a single long article, it’s split into topics like scalability, load balancing, data partitioning, caching, availability, consistency, and communication patterns, so you can study them in isolation. It emphasizes reasoning: why you pick a certain database, why you shard, why you put a queue, and what trade-offs come with each choice. ... -
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quantitative
Quantized transactions python3
The “quantitative” repository by Jack-Cherish is a tutorial-style codebase for quantitative trading written in Python — essentially a learning resource that guides users through building algorithmic trading strategies step by step. It’s organized as a sequence of lessons (lesson1, lesson2, etc.), making it approachable for learners who want to understand both theory and practice in quantitative finance. The repo is evidently tied to a popular video series (on Bilibili) that reportedly drew substantial attention, suggesting the material is meant to be both educational and hands-on. ... -
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crunch++ Debian
LightWeight Debian OS
...In this there is not Dock so you need to Install any dock software, I will prefer plank dock. username - hemant password - <spacebar> one time this os can be used for experiment purpose, and learning purpose. after installing vm just write this command for first time, to update and upgrade the system, it is welcome process, it's *OPTIONAL* `/usr/bin/cbpp-welcome` -
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Advanced Go Programming Book
Book covering high-level topics such as CGO, Go assembly language
...It is not positioned as a beginner’s introduction to Go, but as a resource for readers ready to understand lower-level mechanisms and production-oriented patterns. The repository includes chapters, examples, appendices, documentation assets, and materials for online reading. It also connects readers to related Go learning resources and background material. The project is especially useful for developers who want to move beyond everyday Go syntax and study how complex Go systems are built. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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truckLog
Create and print a log for delivery stops.
New Version For Python 3 **This program requires a web server (such as Apache) and python3.x. ** TruckLog will generate a printable log that will show a line by line list of delivery stops to be made for any one truck load with space provided for signatures. Any amount of logs can be made for each day. The lines can be deleted or moved singly or in groups. It will save the log information to text files which can be read back via the History UI. The records can be easily searched as... -
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go-coffeeshop
A practical event-driven microservices demo
...The project is structured to separate concerns clearly, with layers for domain logic, application services, infrastructure, and interfaces. It showcases best practices for building microservices, including dependency injection, testing strategies, and modular design. The repository is intended as a learning resource for developers who want to understand how to apply architectural patterns in Go projects. It also includes examples of integrating external systems and handling real-world scenarios such as order processing and inventory management. -
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Beautiful Responsive Website Templates
Templates For Learning & Implementation - Quickly Create Your Websites
Categories : Website Design, Website Development, Website Creation, Website Templates, Responsive Website, Beautiful Website -
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Data science blogs
A curated list of data science blogs
Data Science Blogs is a curated repository that aggregates a wide range of high-quality blogs and resources related to data science, machine learning, and analytics into a single organized collection. It serves as a discovery platform for practitioners, researchers, and learners who want to stay updated with industry trends, techniques, and insights without manually searching for reliable sources. The repository includes links to personal blogs, professional publications, and educational resources, often accompanied by RSS feeds for easy subscription and content tracking. ... -
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NeuMan
Neural Human Radiance Field from a Single Video (ECCV 2022)
...It supports novel view and novel pose synthesis, enabling compositional results like transferring reconstructed humans into new scenes. The pipeline separates human/body and environment, learning consistent geometry and appearance to support animation. Demos showcase sequences such as dance and handshake, and the code provides guidance for running evaluations and rendering. As a research release, it serves both as a baseline and as a starting point for work on human-centric NeRFs. The emphasis is on practical reconstruction quality from minimal capture setups. ... -
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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FedLab
A flexible Federated Learning Framework based on PyTorch
A Python-based framework for federated learning simulation, emphasizing modularity, communication efficiency, and algorithmic flexibility. Supports both server- and client-side customization for research and development purposes. -
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PixelAnnotationTool
Annotate quickly images
Software that allows you to manually and quickly annotate images in directories. The method is pseudo manual because it uses the algorithm watershed marked of OpenCV. The general idea is to manually provide the marker with brushes and then to launch the algorithm. If at first pass the segmentation needs to be corrected, the user can refine the markers by drawing new ones on the erroneous areas. -
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learn-machine-learning-in-two-months
Essential Knowledge for learning Machine Learning in two months
The learn-machine-learning-in-two-months repository is an educational open-source project designed to guide beginners through the process of learning machine learning and deep learning concepts within a structured two-month study plan. The project compiles curated resources, tutorials, and practical notebooks that introduce fundamental topics such as mathematics for machine learning, Python programming, and essential libraries like NumPy and TensorFlow. ... -
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Git Tips
Compact knowledge base of Git command tips and workflows
...Because entries are concise and independent, you can dip in at any point and learn something useful in a minute or two. It serves both as a cheat sheet for experienced developers and a learning aid for those new to version control. -
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Frontend Park
Frontend projects and experiments
...It includes examples ranging from pose and face recognition using TensorFlow.js to WebRTC-based video calls and Three.js 3D animations. This repository serves as a playground for exploring and learning modern frontend development techniques. -
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LSTMs for Human Activity Recognition
Human Activity Recognition example using TensorFlow on smartphone
LSTM-Human-Activity-Recognition is a machine learning project that demonstrates how recurrent neural networks can be used to recognize human activities from sensor data. The repository implements a deep learning model based on Long Short-Term Memory (LSTM) networks to classify physical activities using time-series data collected from wearable sensors. The project uses the well-known Human Activity Recognition dataset derived from smartphone accelerometer and gyroscope signals. ... -
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Scotty
Haskell web framework inspired by Ruby's Sinatra, using WAI and Warp
...Scotty is built on top of the WAI (Web Application Interface) and Warp server, making it fast and scalable. It emphasizes simplicity and ease of use, making it ideal for small- to medium-sized services or for developers learning web programming in Haskell. -
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Twinify
Privacy-preserving generation of a synthetic twin to a data set
twinify is a software package for the privacy-preserving generation of a synthetic twin to a given sensitive tabular data set. On a high level, twinify follows the differentially private data-sharing process introduced by Jälkö et al.. Depending on the nature of your data, twinify implements either the NAPSU-MQ approach described by Räisä et al. or finds an approximate parameter posterior for any probabilistic model you formulated using differentially private variational inference (DPVI).... -
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Gym
Toolkit for developing and comparing reinforcement learning algorithms
Gym by OpenAI is a toolkit for developing and comparing reinforcement learning algorithms. It supports teaching agents, everything from walking to playing games like Pong or Pinball. Open source interface to reinforce learning tasks. The gym library provides an easy-to-use suite of reinforcement learning tasks. Gym provides the environment, you provide the algorithm. You can write your agent using your existing numerical computation library, such as TensorFlow or Theano. ... -
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albert_zh
Implementation of A Lite Bert For Self-Supervised Learning Language
albert_zh is a Chinese ALBERT pretraining and model release repository. It implements ALBERT with TensorFlow and provides Chinese pretrained models designed to reduce parameter size while preserving strong language understanding performance. The project includes several model variants, such as tiny, small, base, large, and xlarge-style releases, giving users options for speed, size, and accuracy tradeoffs. It also provides guidance for fine-tuning downstream tasks such as sentence-pair... -
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ml-surveys
Survey papers summarizing advances in deep learning, NLP, CV, graphs
The ml-surveys repository is a broad, maintainable overview of survey papers across many subfields of machine learning — including deep learning, NLP, computer vision, graph ML, reinforcement learning, recommendation systems, embeddings, meta-learning, and more. Instead of diving into code or experiments, this repo gathers authoritative survey and review articles, summarizing the state-of-the-art, trends, challenges, and directions within each subdomain. ... -
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Bullet Physics SDK
Real-time collision detection and multi-physics simulation for VR
This is the official C++ source code repository of the Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc. We are developing a new differentiable simulator for robotics learning, called Tiny Differentiable Simulator, or TDS. The simulator allows for hybrid simulation with neural networks. It allows different automatic differentiation backends, for forward and reverse mode gradients. TDS can be trained using Deep Reinforcement Learning, or using Gradient based optimization (for example LFBGS). ... -
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System Programming Roadmap
A roadmap to teach myself compiler dev, malware reverse engineering
...It aggregates high-quality tutorials, books, project ideas, and documentation links related to topics such as operating systems, file systems, kernel development, networking, and compilers. This repository is ideal for beginners looking to structure their learning or for experienced developers seeking to expand their knowledge in a structured and progressive manner. -
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cortex
Production infrastructure for machine learning at scale
Cortex is an open-source platform designed for building, deploying, and managing machine learning applications in production environments. The framework provides infrastructure tools that allow developers to transform trained machine learning models into scalable web services. Cortex handles many operational challenges associated with deploying AI systems, such as managing dependencies, orchestrating data pipelines, and scaling services under load. -
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Yomichan
Japanese pop-up dictionary extension for Chrome and Firefox
Yomichan turns your web browser into a tool for building Japanese language literacy by helping you to decipher texts which would be otherwise too difficult tackle. This extension is similar to Rikaichamp for Firefox and Rikaikun for Chrome, but it stands apart in its goal of being an all-encompassing learning tool as opposed to a mere browser-based dictionary. Interactive popup definition window for displaying search results. On-demand audio playback for select dictionary definitions. Kanji stroke order diagrams are just a click away for most characters. Custom search page for easily executing custom search queries. Support for multiple dictionary formats including EPWING via the Yomichan Import tool. ... -
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LightSeq
A High Performance Library for Sequence Processing and Generation
Lightseq is a high-performance library focused on efficient inference and training for deep learning models, especially large language models (LLMs) and transformer-based architectures. Its goal is to optimize both memory usage and computational throughput, enabling faster training or inference on limited hardware while maintaining model quality. Lightseq provides optimized CUDA kernels, quantization strategies, and runtime optimizations tailored for transformer operations — which often are bottlenecks in conventional frameworks — thereby reducing memory footprint, improving speed, and making deployment of large-scale models more accessible. ...