Search Results for "dynamicreports-examples" - Page 37
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Showing 3972 open source projects for "dynamicreports-examples"
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LLM-Finetuning
LLM Finetuning with peft
...The project focuses on parameter-efficient fine-tuning methods such as LoRA and QLoRA, which allow large models to be adapted to new tasks without requiring full retraining. Instead of requiring specialized hardware or complex training pipelines, many examples are designed to run in cloud notebook environments such as Google Colab. The repository includes step-by-step notebooks demonstrating how to fine-tune models such as LLaMA, Falcon, OPT, Vicuna, and GPT-NeoX. These tutorials show how developers can adapt pretrained models for tasks such as chatbots, classification, and instruction following. ... -
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Happy-LLM
Large Language Model Principles and Practice Tutorial from Scratch
...The project guides learners through the entire conceptual and practical pipeline of modern LLM development, starting with foundational natural language processing concepts and gradually progressing to advanced architectures and training techniques. It explains the Transformer architecture, pre-training paradigms, and model scaling strategies while also providing hands-on coding examples so readers can implement and experiment with their own models. The tutorial emphasizes practical understanding by walking users through building and training small language models, including tokenizer construction, pre-training workflows, and fine-tuning methods. -
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handson-ml
Teaching you the fundamentals of Machine Learning in python
handson-ml hosts the notebooks for the first edition of the same hands-on ML book, reflecting the tooling and idioms of its time while teaching durable concepts. It walks through supervised and unsupervised learning with scikit-learn, then introduces deep learning using the earlier TensorFlow 1 graph-execution style. The examples underscore fundamentals like bias-variance trade-offs, regularization, and proper validation, grounding learners before they move to deep nets. Even though the deep learning stack evolved, the classical ML sections remain highly relevant for production data problems. The code is crafted to be clear rather than clever, prioritizing readability for newcomers. ... -
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Docker Curriculum
A comprehensive tutorial on getting started with Docker
...By the end, readers are comfortable packaging applications and orchestrating them locally, with pointers toward production considerations. The curriculum is written in plain language with clear examples, making it suitable for self-study, workshops, and onboarding sessions. -
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Hello SQL
Spanish-language course repository that teaches fundamentals of SQL
hello-sql is a beginner-friendly, Spanish-language course repository that teaches the fundamentals of SQL and relational databases through practical examples. It focuses mainly on MySQL for lessons due to its ubiquity in education and professional environments, while also introducing PostgreSQL to broaden learners’ exposure to modern database tooling. The materials emphasize real-world query writing, schema design basics, and the mental model behind SELECT, JOIN, GROUP BY, and subqueries. ... -
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Python Core 50 Courses
Structured learning path that organizes Python fundamentals
...The curriculum starts with the basics—syntax, variables, data types, and control flow—then advances to functions, modules, object-oriented programming, and common standard-library utilities. Each lesson favors hands-on examples and short exercises so learners can immediately apply new concepts in code. Later sections typically touch on practical topics such as file I/O, error handling, regular expressions, and simple networking, giving learners a toolbox for everyday scripts and utilities. The material aims to be beginner-friendly while still building habits that matter in real projects, like writing readable functions and testing logic. ... -
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OpenAI Go
The official Go library for the OpenAI API
...The library provides support for a wide range of API endpoints including chat completions, assistants, embeddings, image generation, audio processing, and batch jobs. It includes built-in tools for handling authentication, managing API requests, and parsing structured responses. The repository also offers examples to help developers quickly set up projects and test different API calls. Designed for reliability and ease of use, it is maintained to stay aligned with the evolving OpenAI API specifications. -
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ShellGPT
A command-line productivity tool powered by AI large language models
A command-line productivity tool powered by AI large language models (LLM). This command-line tool offers a streamlined generation of shell commands, code snippets, and documentation, eliminating the need for external resources (like Google search). Supports Linux, macOS, and Windows and is compatible with all major Shells like PowerShell, CMD, Bash, Zsh, etc. By default, ShellGPT uses OpenAI's API and GPT-4 model. You'll need an API key, you can generate one here. You will be prompted for... -
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TinyTeX releases
Windows/macOS/Linux binaries and installation methods of TinyTeX
A lightweight, cross-platform, portable, and easy-to-maintain LaTeX distribution based on TeX Live. TinyTeX is a custom LaTeX distribution based on TeX Live that is small in size but functions well in most cases, especially for R users. If you run into the problem of missing LaTeX packages, it should be super clear to you what you need to do (in fact, R users won’t need to do anything). You only install LaTeX packages you actually need. Currently, TinyTeX works best for R users. Other users... -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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ContainerSSH
ContainerSSH: Launch containers on demand
An SSH Server that Launches Containers in Kubernetes and Docker. Building a lab environment can be time-consuming. ContainerSSH solves this by providing dynamic SSH access with APIs, automatic cleanup on logout using ephemeral containers, and persistent volumes for storing data. Perfect for vendor and student labs. Provide production access to your developers, give them their usual tools while logging all changes. Authorize their access and create short-lived credentials for the database... -
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EnvFile
EnvFile 3.x is a plugin for JetBrains IDEs
Env File is a plugin for JetBrains IDEs that allows you to set environment variables for your run configurations from one or multiple files. Not all run configurations available in IDEA-based IDEs are implemented similarly. Some of them differ significantly. In certain cases (so far, only Gradle has been confirmed) the implementation exposes interfaces to integrate the EnvFile UI but doesn't provide interfaces for it to actually make its work. Luckily, it was possible to make few assumptions... -
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AutoGPT
Powerful tool that lets you create and run intelligent agents
AutoGPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. This program, driven by GPT-4, chains together LLM "thoughts", to autonomously achieve whatever goal you set. As one of the first examples of GPT-4 running fully autonomously, AutoGPT pushes the boundaries of what is possible with AI. -
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Manim
A community-maintained Python framework for creating animations
A community-maintained Python library for creating mathematical animations. Manim is a free and open-source project originally written by Grant Sanderson. It is now maintained by the Manim Community and permissively released under the MIT license. Manim was originally created by Grant Sanderson as a personal project and for use in his YouTube channel, 3Blue1Brown. As his channel gained popularity, many grew to like the style of his animations and wanted to use manim for their own projects.... -
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Go Imagick
Go binding to ImageMagick's MagickWand C API
Go Imagick is a Go bind to ImageMagick's MagickWand C API. The default installation path of msys2 is C:\msys64 and you must change <msys64> to your installation path of msys2. The MAGICK_CODER_MODULE_PATH environment variable tells ImageMagick where to find the decoders. If you still get the NoDecodeDelegateForThisImageFormat error, then make sure the version number and folders are correct. If you want to specify CGO_CFLAGS/CGO_LDFLAGS manually at build time, such as for building statically... -
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DynamicalSystems.jl
Award winning software library for nonlinear dynamics timeseries
...All implemented algorithms provide a high-level scientific description of their functionality in their documentation string as well as references to scientific papers. The documentation features hundreds of tutorials and examples ranging from introductory to expert usage. -
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Remarshal
Convert between CBOR, JSON, MessagePack, TOML, and YAML
Convert between CBOR, JSON, MessagePack, TOML, and YAML. When installed, provides the command-line command remarshal as well as the short commands {cbor,json,msgpack,toml,yaml}2{cbor,json,msgpack,toml,yaml}. You can perform format conversion, reformatting, and error detection using these commands. CBOR, MessagePack, and YAML with binary fields cannot be converted to JSON or TOML. Binary fields are converted between CBOR, MessagePack, and YAML. -
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scalajs-react
Facebook's React on Scala.JS
Scala.js React wraps Facebook React for Scala.js with a strong emphasis on type safety and functional idioms. It provides a typed virtual DOM interface, reusable components, hooks, and utilities for routing, testing, SSR, and performance profiling, all aligned with Cats, Cats Effect, and Monocle ecosystems. -
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Keras Hub
Pretrained model hub for Keras 3
Keras Hub is a repository of pre-trained models for Keras 3, offering a collection of ready-to-use models for various machine-learning tasks. KerasHub is an extension of the core Keras API; KerasHub components are provided as Layer and Model implementations. If you are familiar with Keras, congratulations. You already understand most of KerasHub. -
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Nest.js Mod Fullstack
Boilerplate for creating a fullstack application on NestJS and Angular
NestJS Fullstack is a boilerplate for building full-stack applications with NestJS and Angular, providing a ready-to-use structure for scalable apps. -
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Statistics
Detects usage of unsafe Rust in a Rust crate and its dependencies
A tool that lists statistics related to the usage of unsafe Rust code in a Rust crate and all its dependencies. -
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grammY
The Telegram Bot Framework
grammY makes it easy to create Telegram bots. Both for beginners and at scale. You want grammY because it is easy to use. It is very powerful and always up to date. It has the best documentation in town. It is extremely efficient and scales up effortlessly. It has a thriving ecosystem of plugins, a friendly community chat, seamless integrations with web frameworks and databases, and so much more. -
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PyKEEN
A Python library for learning and evaluating knowledge graph embedding
PyKEEN (Python KnowlEdge EmbeddiNgs) is a Python package designed to train and evaluate knowledge graph embedding models (incorporating multi-modal information). PyKEEN is a Python package for reproducible, facile knowledge graph embeddings. PyKEEN has a function pykeen.env() that magically prints relevant version information about PyTorch, CUDA, and your operating system that can be used for debugging. If you’re in a Jupyter Notebook, it will be pretty-printed as an HTML table. -
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ccapi
A header-only C++ library for interacting with crypto exchanges
A header-only C++ library for streaming market data and executing trades directly from cryptocurrency exchanges (i.e. the connections are between your server and the exchange server without anything in-between). -
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Academic Pandoc template
Write beautifully typeset academic texts with Markdown and Pandoc
Write beautiful academic texts with the distraction-free Pandoc Markdown and typademic. Pandoc markdown templates for academic articles, presentations and theses to write distraction-free while maintaining beautiful typesetting. -
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iCalendar Generator
Generate calendars in the iCalendar format
Want to create online calendars so that you can display them on an iPhone's calendar app or in Google Calendar? This can be done by generating calendars in the iCalendar format (RFC 5545), a textual format that can be loaded by different applications. The format of such calendars is defined in RFC 5545, which is not a pleasant reading experience. This package implements RFC 5545 and some extensions from RFC 7986 to provide you an easy-to-use API for creating calendars. It's not our intention...
