Search Results for "code new roman" - Page 4
Sort By:
Showing 146 open source projects for "code new roman"
View related business solutions-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
1
Cecil
Cecil is a library to inspect, modify and create .NET programs
...Mono.Cecil is a library to generate and inspect programs and libraries in the ECMA CIL form. Analyze .NET binaries using a simple and powerful object model, without having to load assemblies to use Reflection. Modify .NET binaries, add new metadata structures and alter the IL code. Cecil has been around since 2004 and is widely used in the .NET community. If you're using Cecil, or depend on a framework, project, or product using it, please consider sponsoring Cecil. Cecil 0.10 beta 5 addresses a long standing issue: previously, a rewrite of native pdb files would lose some debugging information, including the list of namespaces that were used in methods (and thus breaking the expression evaluation) or the scopes in generators (for iterators or async methods). -
2
SmartThingsPublic
SmartThings open-source DeviceType Handlers and SmartApps code
SmartThingsPublic is the official public repository maintained by the SmartThings Community that hosts open-source SmartApps and Device Type Handlers (DTHs) written in Groovy for the SmartThings IoT platform, enabling users and developers to integrate, design, and automate smart home devices and behaviors. SmartThings Edge Device Drivers are the new method for integrating Hub Connected Devices into the SmartThings Platform. With the launch of SmartThings Edge, we are taking some events that... -
3
Neural Network Visualization
Project for processing neural networks and rendering to gain insights
nn_vis is a minimalist visualization tool for neural networks written in Python using OpenGL and Pygame. It provides an interactive, graphical representation of how data flows through neural network layers, offering a unique educational experience for those new to deep learning or looking to explain it visually. By animating input, weights, activations, and outputs, the tool demystifies neural network operations and helps users intuitively grasp complex concepts. Its lightweight codebase is... -
4
NeuMan
Neural Human Radiance Field from a Single Video (ECCV 2022)
NeuMan is a reference implementation that reconstructs both an animatable human and its background scene from a single monocular video using neural radiance fields. 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. ... -
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.
-
5
Git Tips
Compact knowledge base of Git command tips and workflows
...It favors short, actionable examples that solve common problems like amending commits, cleaning branches, rewriting history, bisecting, stashing, or recovering lost work. Each tip shows the exact command and a brief explanation, reducing time spent digging through manual pages. The collection is useful for daily development, code reviews, and release management where precise Git operations matter. 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. -
6
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. For someone trying to get up to speed with a new ML subfield — say graph neural networks or meta-learning — ml-surveys offers a curated reading list of foundational and recent works, helping map the landscape quickly. ... -
7
PyTorch Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, etc.
TLlib is an open-source and well-documented library for Transfer Learning. It is based on pure PyTorch with high performance and friendly API. Our code is pythonic, and the design is consistent with torchvision. You can easily develop new algorithms or readily apply existing algorithms. We appreciate all contributions. If you are planning to contribute back bug-fixes, please do so without any further discussion. If you plan to contribute new features, utility functions or extensions, please first open an issue and discuss the feature with us. -
8
Fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python
Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks. We provide reference implementations of various sequence modeling papers. Recent work by Microsoft and Google has shown that data parallel training can be made significantly more efficient by sharding the model parameters and optimizer state across data parallel workers. These ideas are encapsulated in the... -
9
the-way-to-go_ZH_CN
The Chinese translation of "The Way to Go" Guide
the-way-to-go_ZH_CN is the Chinese translation of the Go programming book The Way to Go, known as (“Go Introduction Guide”). The translator, along with a team of contributors, created this project to make a high-quality Go learning resource accessible to Chinese readers who might struggle with English-language books. The README explains that the original author, Ivo Balbaert, granted authorization for the translation and even for updating certain content to match newer Go versions. The... -
Your monitoring isn't a stack. It's a pile. Fix that.Replace Datadog, New Relic, and Sentry without adding three more dashboards.
-
10
Google Cloud Vision API examples
Sample code for Google Cloud Vision
The cloud-vision repository is a sample code collection for the Google Cloud Vision API that shows developers how to implement image analysis tasks across a wide range of languages and platforms. It contains examples organized by language and environment, including Go, Java, Node.js, PHP, Python, Ruby, .NET, Android, iOS, and even a Chrome extension, which makes it especially valuable as a cross-platform learning resource. -
11
Terminals Are Sexy
A curated list of Terminal frameworks, plugins & resources
...It also points to customization ideas—prompts, themes, and fonts—that help you craft a clear, legible, and pleasant environment. Because it’s a living list, contributions are encouraged, keeping entries current as tools evolve. If you spend time in a terminal—whether writing code, administering systems, or just automating chores—this is a single, convenient place to find better defaults and new favorites. -
12
Awesome Conformal Prediction
A professionally curated list of awesome Conformal Prediction videos
awesome-conformal-prediction is a curated “awesome list” repository on GitHub collecting high-quality resources related to conformal prediction: tutorials, books, papers, theses, open-source libraries, videos, and other educational material. It is not a software library itself but a directory of resources for those wanting to learn or work with conformal prediction and uncertainty quantification. This exceptional resource is the culmination of my PhD journey in Machine Learning, specializing... -
13
go-fundamental-programming
Set of video and voice tutorials for the Go language
go-fundamental-programming is the code and notes repository for the Chinese video course, a foundational Go programming tutorial aimed at beginners. The author positions it explicitly as a way to share the knowledge and pitfalls accumulated while learning Go, so that new learners can avoid common mistakes and weird corner cases. The course is delivered as a series of lectures, and each lecture has a dedicated lectureX.md file that serves as classroom notes, listing the knowledge points covered and the timestamp at which each segment starts. ... -
14
QB64
BASIC for the modern era
QB64 is a modern self-hosting BASIC compiler that brings classic QBasic/QuickBASIC programs into the modern era. It enables legacy code to run on today’s operating systems with minimal modifications, while also introducing new commands and libraries for multimedia, networking, and 64-bit computing. QB64 compiles to C++ and includes a built-in IDE, making it accessible for beginners, hobbyists, and retro programming enthusiasts. It aims to preserve the ease and nostalgia of BASIC while expanding its capabilities for contemporary development. -
15
vim-surround
Delete/change/add parentheses/quotes/XML-tags/much more with ease
...The key insight is that surroundings are structural: once Vim understands the bounds, operations become predictable and composable with your existing motions. The plugin handles common cases like quotes and parentheses as well as HTML/XML tags, making it equally useful in prose and code. Because the commands are orthogonal to movements, you can target words, sentences, or visual selections without learning new modes. Over time, vim-surround becomes muscle memory, reducing cognitive load and helping you keep your hands on the keyboard during structural edits. -
16
ReinventCommunity
Jupyter Notebook tutorials for REINVENT 3.2
This repository is a collection of useful jupyter notebooks, code snippets and example JSON files illustrating the use of Reinvent 3.2. -
17
Sulla
Javascript Whatsapp API library for chatbots
Sulla is a javascript library that provides a high-level API control to Whatsapp so it can be configured to automatize responses or any data that goes through Whatsapp effortlessly. As of version 2.3.5 it seems that sulla has reached a very rich and stable functionality and architecture. As much as I would love to, I cannot dedicate a lot of time to this project so please consider checking out forked versions of sulla where other developers can dedicate more time and support to it. After... -
18
Pure Bash Bible
A collection of pure bash alternatives to external processes
pure-bash-bible is a collection of pure Bash scripting techniques that demonstrate how to accomplish common and complex tasks using only built-in Bash features. Its goal is to reduce reliance on external tools like sed, awk, or grep, which can slow down scripts and add unnecessary dependencies. The project is organized as a reference book of function-based code snippets, each showcasing practical solutions for string manipulation, text processing, file operations, and more. By relying... -
19
SentEval
A python tool for evaluating the quality of sentence embeddings
...Datasets are wrapped with unified preprocessing and metrics so results are comparable across papers and implementations. Because the interface is minimal, researchers can plug in encoders from any framework or language model and obtain a broad evaluation with little glue code. SentEval helped establish common baselines and reporting conventions in the sentence-representation community, reducing friction when comparing new methods. -
20
Brand new cheatsheets and handouts
Matplotlib 3.1 cheat sheet
...For practitioners working on data-heavy projects, dashboards, or research code where plotting is frequent, it helps speed up development by reducing context-switching and documentation navigation overhead. It is especially useful when you know roughly what you want (e.g. “I need a scatter + histogram marginal plot”) but don’t remember the exact Matplotlib call. -
21
BotMan
A framework agnostic PHP library to build chat bots
Write your chatbot logic once and connect it to one of the available messaging services, including Amazon Alexa, Facebook Messenger, Slack, Telegram or even your own Website. BotMan is framework agnostic, which means you can use it in your existing codebase, whatever framework you might use. Starting a new chatbot project? BotMan Studio is a Laravel 5.5 boiler project to get you started in no time! BotMan is all about having an expressive, yet powerful syntax that allows you to focus on the business logic, not on framework code. BotMan is a framework agnostic PHP library that is designed to simplify the task of developing innovative bots for multiple messaging platforms, including Slack, Telegram, Microsoft Bot Framework, Nexmo, HipChat, Facebook Messenger and WeChat. -
22
Top Deep Learning Projects
A list of popular github projects related to deep learning
TopDeepLearning is a curated index of the most popular GitHub projects related to deep learning, ranked by their star count. Rather than being a library itself, it serves as a curated roadmap and reference guide for anyone exploring the deep learning ecosystem — from beginners to experienced practitioners. By aggregating high-star projects across frameworks (TensorFlow, PyTorch), tools (computer vision, NLP, reinforcement learning), tutorials, and research code, it helps users quickly... -
23
Tensor2Tensor
Library of deep learning models and datasets
Deep Learning (DL) has enabled the rapid advancement of many useful technologies, such as machine translation, speech recognition and object detection. In the research community, one can find code open-sourced by the authors to help in replicating their results and further advancing deep learning. However, most of these DL systems use unique setups that require significant engineering effort and may only work for a specific problem or architecture, making it hard to run new experiments and compare the results. Tensor2Tensor, or T2T for short, is a library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. ... -
24
modernish
Modernish is a library for writing robust, portable, readable, and pow
Modernish is a library for shell script programming which provides features like safer variable and command expansion, new language constructs for loop iteration, and much more. Modernish programs are shell programs; the new constructs are mixed with shell syntax so that the programmer can take advantage of the best of both. There is no compiled code to install, as modernish is written entirely in the shell language. It can be deployed in embedded or multi-user systems in which new binary executables may not be introduced for security reasons, and is portable among numerous shell implementations. ... -
25
Bloaty
Bloaty: a size profiler for binaries
...It parses binary formats like ELF, Mach-O, and DWARF symbol/debug data without relying solely on toolchain heuristics, letting you attribute size to files, sections, symbols, templates, and even compilation units. Reports can be produced at multiple granularities and diffed across builds to identify regressions introduced by compiler flags, dependencies, or new code paths. The tool is designed to be fast enough for iterative use in developer workflows and CI, making size budgets enforceable rather than aspirational. It also supports data sources such as symbol tables and map files, combining them into coherent, readable breakdowns. Teams use Bloaty to drive systematic size-reduction efforts in embedded, desktop, and mobile software where startup time, memory footprint, or download size matter.