Search Results for "learning" - Page 74
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Showing 4197 open source projects for "learning"
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llm
An ecosystem of Rust libraries for working with large language models
llm is an ecosystem of Rust libraries for working with large language models - it's built on top of the fast, efficient GGML library for machine learning. The primary entry point for developers is the llm crate, which wraps the llm-base and the supported model crates. Documentation for the released version is available on Docs.rs. For end-users, there is a CLI application, llm-cli, which provides a convenient interface for interacting with supported models. Text generation can be done as a one-off based on a prompt, or interactively, through REPL or chat modes. ... -
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T81 558
Applications of Deep Neural Networks
Deep learning is a group of exciting new technologies for neural networks. Through a combination of advanced training techniques and neural network architectural components, it is now possible to create neural networks that can handle tabular data, images, text, and audio as both input and output. Deep learning allows a neural network to learn hierarchies of information in a way that is like the function of the human brain. -
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smclarify
Fairness aware machine learning. Bias detection and mitigation
Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models. A facet is column or feature that will be used to measure bias against. A facet can have value(s) that designates that sample as "sensitive". Bias detection and mitigation for datasets and models. The label is a column or feature which is the target for training a machine learning model. -
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sense2vec
Contextually-keyed word vectors
sense2vec (Trask et. al, 2015) is a nice twist on word2vec that lets you learn more interesting and detailed word vectors. This library is a simple Python implementation for loading, querying and training sense2vec models. For more details, check out our blog post. To explore the semantic similarities across all Reddit comments of 2015 and 2019, see the interactive demo. -
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...If you get a prompt of SSH keys being accepted, you are in a good shape to continue. 5. Perform an NMAP scan like how Trinity did to hack the grid! try all ports :) 6. Good luck and enjoy the CTF! Learning Pre-Requisites - This VM does not require exploiting a CVE, or use of MetaSploit/Commercial exploit tools. - Requires intermediary knowlege of linux as it is based on Alpine.
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OGB
Benchmark datasets, data loaders, and evaluators for graph machine
The Open Graph Benchmark (OGB) is a collection of realistic, large-scale, and diverse benchmark datasets for machine learning on graphs. OGB datasets are automatically downloaded, processed, and split using the OGB Data Loader. The model performance can be evaluated using the OGB Evaluator in a unified manner. OGB is a community-driven initiative in active development. We expect the benchmark datasets to evolve. OGB provides a diverse set of challenging and realistic benchmark datasets that are of varying sizes and cover a variety graph machine learning tasks, including prediction of node, link, and graph properties. ... -
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VABlog
YUV/PCM/H264/H265/AAC/FFmpeg/Opengl
VABlog is a full-stack web application project that combines blogging functionality with multimedia and video-related features. It is designed as a learning-oriented system that demonstrates how to build a modern web platform with both frontend and backend components. The project includes user authentication, content publishing, and media management capabilities, allowing users to create and manage posts with embedded video content. It integrates database storage for handling user data, posts, and metadata, ensuring persistence and scalability. ... -
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Self-learning-Computer-Science
Resources to learn computer science in your spare time
Self-learning Computer Science is a curated, open-source guide repository designed to help learners independently study computer science topics using high-quality university-level resources. The author (an undergraduate CS student) assembled links to courses from institutions like MIT, UC Berkeley, Stanford, etc., covering mathematics, programming, data structures/algorithms, computer architecture, machine learning, software engineering and more. -
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UMHDL
Integrated Development Environment (IDE) for learning HDL
UMHDL is an educational Integrated Development Environment (IDE) intended for learning digital designing with programmable logic devices using Hardware Description Languages (HDL) through simulation. It is an open-source application created at the Miguel Hernández University (UMH). The aim for the UMHDL development was to have a graphical application that allows learning the VHDL language without licensing restrictions (using some existing open-source tools) and requiring few resources. ... -
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Guia do Desenvolvedor Back-end
Everything you need to become a back-end developer
...The guide covers Linux, Git, GitHub, HTTP, APIs, programming languages, databases, cloud platforms, Docker, architecture patterns, and related technical areas. It also includes resources for data science, machine learning, artificial intelligence, and scientific Python tools. The repository is organized as a study companion, not as an executable software package. Overall, it is a practical back-end learning reference for planning study paths, exploring technologies, and finding useful external resources. -
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Guia do Desenvolvedor Front-end
Everything you need to become a front-end developer
...Overall, it serves as a curated front-end learning hub rather than a runnable application. -
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Flutter Tutorials
Source code for all the tutorials on FilledStacks' channel
...It emphasizes clean architecture, testability, and scalable code, showing developers how to go beyond toy examples. Tutorials often come with detailed commentary or videos to explain design decisions. The collection helps developers bridge the gap between learning Flutter basics and building production-ready apps. It serves as both a reference and a training resource for those aiming to adopt Flutter in professional projects. -
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texturize
Generate photo-realistic textures based on source images
...It's useful in the context of computer graphics if you want to make variations on a theme or expand the size of an existing texture. This software is powered by deep learning technology, using a combination of convolution networks and example-based optimization to synthesize images. We're building texturize as the highest-quality open source library available! The examples are available as notebooks, and you can run them directly in-browser thanks to Jupyter and Google Colab. -
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LM Human Preferences
Code for the paper Fine-Tuning Language Models from Human Preferences
...Its purpose is to show how to align language models with human judgments by training a reward model from human comparisons and then fine-tuning a policy model using that reward signal. The repository includes scripts to train the reward model (learning to rank or score pairs of outputs), and to fine-tune a policy (a language model) with reinforcement learning (or related techniques) guided by that reward model. The code is provided “as is” and explicitly says it may no longer run out-of-the-box due to dependencies or dataset migrations. It was tested on the smallest GPT-2 (124M parameters) under a specific environment (TensorFlow 1.x, specific CUDA / cuDNN combinations). ... -
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Transformers-Interpret
Model explainability that works seamlessly with Hugging Face
Transformers-Interpret is an interpretability tool for Transformer-based NLP models, providing insights into attention mechanisms and feature importance. -
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AI Code Translator
Use AI to translate code from one language to another
AI Code Translator is a web-based tool that leverages AI to translate source code from one programming language to another, making cross-language porting or code conversion significantly easier — useful when migrating codebases, experimenting across languages, or learning how code patterns map across languages. The UI is built with Next.js + TypeScript, plus modern tooling like Tailwind CSS, giving a clean frontend experience where you paste or upload code, select target language, and get output quickly. Because it uses AI under the hood, the translation can handle not just syntax but also adapt idioms or patterns appropriately for the target language (though with the usual caveats around AI output correctness). ... -
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...As a bonus, Classroom Insights is designed to allow for archiving statistics per sequence into a database file that can be shared with other colleagues for a more comprehensive perspective on performance. Furthermore, this software leverages the power of machine learning to predict students' performances on exams.
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Intelligent Java
Integrate with the latest language models, image generation and speech
Intelligent java (IntelliJava) is the ultimate tool to integrate with the latest language models and deep learning frameworks using java. The library provides an intuitive functions for sending input to models like ChatGPT and DALL·E, and receiving generated text, speech or images. With just a few lines of code, you can easily access the power of cutting-edge AI models to enhance your projects. Access ChatGPT, GPT3 to generate text and DALL·E to generate images. -
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TradeMaster
TradeMaster is an open-source platform for quantitative trading
TradeMaster is a first-of-its-kind, best-in-class open-source platform for quantitative trading (QT) empowered by reinforcement learning (RL), which covers the full pipeline for the design, implementation, evaluation and deployment of RL-based algorithms. TradeMaster is composed of 6 key modules: 1) multi-modality market data of different financial assets at multiple granularities; 2) whole data preprocessing pipeline; 3) a series of high-fidelity data-driven market simulators for mainstream QT tasks; 4) efficient implementations of over 13 novel RL-based trading algorithms; 5) systematic evaluation toolkits with 6 axes and 17 measures; 6) different interfaces for interdisciplinary users. -
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Guia de Cyber Security
Get started in the field of information security
Guia de Cyber Security is a cybersecurity learning guide for people entering or specializing in information security. It collects study resources, tools, career references, roadmaps, courses, books, channels, podcasts, and certification links. The guide introduces cybersecurity as a field and highlights different career paths, such as application security, cloud security, forensics, cryptography, malware analysis, threat intelligence, and security engineering. -
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QMDemo
Some functional modules developed by Qt on a daily basis or demos
QMDemo is an Android demonstration project that showcases multimedia playback and processing capabilities using native and Java-based components. It is designed as a learning tool for developers exploring video playback, decoding, and rendering pipelines on mobile devices. The project includes examples of handling media streams, managing buffers, and synchronizing audio and video output. It demonstrates integration with multimedia libraries and frameworks to achieve efficient playback performance. QMDemo also provides UI components for controlling playback and interacting with media content. ... -
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Jekyll Pure Liquid Heading Anchors
A GitHub Pages compatible way of adding anchors to your headings
...This is all written in Liquid so need for any whitelisting. Worried about how weird or ugly a plug-in's CSS may be? These projects only generate semantically sane HTML for you to style. No need to worry about learning Ruby to edit a plug-in or getting your edits approved. It’s all Liquid, just change whatever HTML you want generated. -
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LightFM
A Python implementation of LightFM, a hybrid recommendation algorithm
LightFM is a Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback, including efficient implementation of BPR and WARP ranking losses. It's easy to use, fast (via multithreaded model estimation), and produces high-quality results. It also makes it possible to incorporate both item and user metadata into the traditional matrix factorization algorithms. It represents each user and item as the sum of the latent representations of their... -
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Learn Prompting
This website is a free, open-source guide on prompt engineering
...The competition featured 10 increasingly difficult levels of prompt hacking defenses and the chance to win over $35,000 in prizes. Coding is a great skill to learn alongside prompt engineering. We recommend learning Python, as it is a popular language for AI and machine learning. Be among the first to access the certification program as soon as it launches. -
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Next Right Now
Flexible production-grade boilerplate with Next.js 11
...It has been used to build Unly Solidarity, a fully static website meant to help French students find various solutions regarding the COVID-19 pandemic. It has been used to build NRN Admin (Now unmaintained/discontinued) To be used as an educational resource, meant to be used as a learning/teaching resource, even if you don’t use it as a boilerplate.