Search Results for "c language learning" - Page 47
Sort By:
Showing 4633 open source projects for "c language learning"
View related business solutions-
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
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.
-
1
Flexe
The open source federated learning for vehicular network simulation
Flexe is a FL simulator designed for connected and autonomous vehicles (CAVs). It enables horizontal/vertical/transfer FL schemes and simulates realistic wireless and vehicular dynamics. Separate Python client (PyFlexe) available. -
2
Hasktorch
Tensors and neural networks in Haskell
Hasktorch is a powerful Haskell library for tensor computation and neural network modeling, built on top of libtorch (the backend of PyTorch). It brings differentiable programming, automatic differentiation, and efficient tensor operations into Haskell’s strongly typed functional paradigm. This project is in active development, so expect changes to the library API as it evolves. We would like to invite new users to join our Hasktorch discord space for questions and discussions.... -
3
CollabAI
Enhance sales and satisfaction with Collab.ai's AI-driven platform.
Empowering businesses with AI-driven customer engagement solutions. Our innovative platform combines machine learning and natural language processing to automate interactions, boost sales, and enhance customer satisfaction. Experience the future of customer engagement with Collab.ai – where every interaction drives growth and success. -
4
OnlineJudge 2.0
Open source online judge based on Vue, Django and Docker
...Separated backend and frontend; Modular programming; Micro service. ACM/OI rule support; realtime/non-realtime rank support. Amazing charting and visualization. Template-problem support. More reasonable permission control. Multi-language support: C, C++, Java, Python2, Python3. Markdown & MathJax support. Contest participants IP limit(CIDR). You can control the menu and chart status in rankings. -
Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
-
5
OneFlow
OneFlow is a deep learning framework designed to be user-friendly
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient. An extension for OneFlow to target third-party compiler, such as XLA, TensorRT and OpenVINO etc.CUDA runtime is statically linked into OneFlow. OneFlow will work on a minimum supported driver, and any driver beyond. For more information. Distributed performance (efficiency) is the core technical difficulty of the deep learning framework. OneFlow focuses on performance improvement and heterogeneous... -
6
Vim Codefmt
Vim plugin for syntax-aware code formatting
...Autoformat can be enabled via standard Vim autocommands, making it easy to format on filetype or on write while still allowing opt-out on a per-buffer basis. With broad language coverage—from C, C++, Java, Python, and Go to Kotlin, Rust, Swift, Bazel, Markdown, and more—vim-codefmt helps teams maintain consistent style across heterogeneous codebases. -
7
AIConfig
AIConfig is a config-based framework to build generative AI apps
AIConfig is an open-source framework designed to simplify the development and management of generative AI applications by separating AI logic from application code. The framework allows prompts, model configurations, and parameters to be stored as structured configuration files that can be version controlled and managed independently from the rest of the software system. This approach improves collaboration between developers, prompt engineers, and machine learning practitioners by turning... -
8
PyDenseCRF
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs
PyDenseCRF is a Python library that provides a wrapper around the implementation of fully connected Conditional Random Fields (CRFs) developed by Philipp Krähenbühl and Vladlen Koltun. The project allows developers and researchers to integrate Dense CRF inference into Python-based machine learning pipelines, particularly for computer vision tasks such as image segmentation and labeling. Conditional Random Fields are probabilistic graphical models used to model contextual relationships... -
9
Neural Speed
An innovative library for efficient LLM inference
neural-speed is an innovative library developed by Intel to enhance the efficiency of Large Language Model (LLM) inference through low-bit quantization techniques. By reducing the precision of model weights and activations, neural-speed aims to accelerate inference while maintaining model accuracy, making it suitable for deployment in resource-constrained environments. -
Paessler - Monitor Your Whole Network in MinutesWaiting weeks for a monitoring rollout isn't an option when infrastructure doesn't stop running. PRTG's auto-discovery scans your network and suggests from over 200 pre-configured sensor types, so you're watching servers, applications and devices within minutes, not after a multi-week deployment. Enterprise-strength monitoring, without the enterprise complexity. Start your free trial today.
-
10
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. -
11
AzkaOs
Open source operating system based flutter and kernel zircon
AzkaOS is a personal and experimental operating system project aiming to create a lightweight and customizable platform written primarily in Python and C/C++. It combines ideas from traditional desktop OSes with a scripting-heavy approach, offering a hybrid system that prioritizes ease of customization and user scripting. Though still in its early stages, AzkaOS aims to support desktop environments, package management, and basic system utilities while enabling users to control behavior... -
12
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. ... -
13
operating system simple
Operating System Guide Dari 0
operating_system_guide is a curated, beginner-friendly resource aimed at helping aspiring developers learn how to create an operating system from scratch. Maintained by AzkaDev, the guide collects educational materials, links, and code snippets that walk learners through each major component of OS development—from bootloaders to kernel structures and system calls. While still evolving, the guide acts as a roadmap and inspiration hub for those wanting to explore low-level systems programming... -
14
Greenplum Database
Massive parallel data platform for analytics, machine learning and AI
Rapidly create and deploy models for complex applications in cybersecurity, predictive maintenance, risk management, fraud detection, and many other areas. With its unique cost-based query optimizer designed for large-scale data workloads, Greenplum scales interactive and batch-mode analytics to large datasets in the petabytes without degrading query performance and throughput. Based on PostgreSQL, Greenplum provides you with more control over the software you deploy, reducing vendor... -
15
fltr
Like grep but for natural language questions
fltr is a minimal, dependency-free filtering utility written in C, inspired by UNIX philosophy and designed for high-performance data stream filtering. It allows users to apply pattern-based rules to lines of input—much like grep or awk—but with a focus on simplicity, low overhead, and customizability. It's intended for those who need a small, efficient tool to clean, parse, or analyze large streams of textual data on the command line without complex scripting or configuration. -
16
Go support for Protocol Buffers
The Go support for Google's protocol buffers
...Protocol buffers currently support generated code in Java, Python, Objective-C, and C++. With our new proto3 language version, you can also work with Dart, Go, Ruby, and C#, with more languages to come. Package proto provides functions operating on protobuf messages such as cloning, merging, and checking equality, as well as binary serialization and text serialization. Package jsonpb serializes protobuf messages as JSON. -
17
staq
Full-stack quantum processing toolkit
staq is a modern C++ library for the synthesis, transformation, optimization and compilation of quantum circuits. staq is written in standard C++17 and has very low external dependencies. It is usable either through the provided binary tools, or as a header-only library that can be included to provide direct support for parsing & manipulating circuits written in the OpenQASM circuit description language. -
18
vahatraker
a live MIDI sequencer for JACK
...The GUI has similar dependencies as gnome-calculator and tracker paradigm was chosen to allow for rhythmic gymnastics otherwise hard to convey. Low level stuff was done in C and wrapped in Python. Human interfacing part of contraption employs GTK through gobject introspection and was also contrived in the language we shall no longer spam abo -
19
Skiplist-CPP
A tiny KV storage based on skiplist written in C++ language
Skiplist-CPP is a lightweight key-value storage engine implemented in C++ using a skip list as its core data structure. It showcases how a log-structured, ordered index can deliver fast inserts, lookups, and deletes while remaining simple to implement and reason about. The project supplies a compact codebase with a clear separation between the skip list implementation and the storage operations that use it. Beyond in-memory operations, it demonstrates persistence through data dump to disk... -
20
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. -
21
Systems Biology Markup Language (SBML)
A file format for exchanging computational models in systems biology
The Systems Biology Markup Language (SBML) is an XML-based description language for representing computational models in systems biology. Visit the project web site to learn more. -
22
The Algorithms - C #
Collection of various algorithms in mathematics, machine learning
TheAlgorithms/C is an open-source repository that provides implementations of classic algorithms and data structures written in the C programming language. The project is part of the larger “The Algorithms” initiative, which aims to create educational resources by implementing algorithms in multiple programming languages. Within the C repository, contributors implement algorithms from many areas of computer science including sorting, searching, graph processing, mathematics, machine learning, and numerical methods. ... -
23
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... -
24
Computer vision projects
computer vision projects | Fun AI projects related to computer vision
Computer vision projects is an open-source collection of computer vision projects and experiments that demonstrate practical applications of modern AI techniques in image processing, robotics, and real-time visual analysis. The repository includes multiple demonstration systems implemented using languages such as Python and C++, covering topics ranging from object detection to embedded vision systems. 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. -
25
MegaGlest
Cross-platform real-time strategy game (3D)
_________________________________________________________________________________________________________________________________________________________ PLEASE NOTE: Downloads and repositories have moved to GitHub at http://github.com/megaglest _________________________________________________________________________________________________________________________________________________________ MegaGlest is a free real-time strategy (RTS) game. It's fun to play in both single...