Search Results for "no code" - Page 54
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Showing 1873 open source projects for "no code"
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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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Machine Learning PyTorch Scikit-Learn
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Initially, this project started as the 4th edition of Python Machine Learning. However, after putting so much passion and hard work into the changes and new topics, we thought it deserved a new title. So, what’s new? There are many contents and additions, including the switch from TensorFlow to PyTorch, new chapters on graph neural networks and transformers, a new section on gradient boosting, and many more that I will detail in a separate blog post. For those who are interested in knowing... -
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CodeSearchNet
Datasets, tools, and benchmarks for representation learning of code
CodeSearchNet is a large-scale dataset and research benchmark designed to advance the development of systems that retrieve source code using natural language queries. The project was created through collaboration between GitHub and Microsoft Research and aims to support research on semantic code search and program understanding. The dataset contains millions of pairs of source code functions and corresponding documentation comments extracted from open-source repositories. ... -
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e-Dokyumento
e-Dokyumento is web-based Document Management System (DMS)
e-Dokyumento is opensource web-based Document Management System (DMS) A Document Management which automates the basic office document workflow such as receiving, filing, routing, and approving through capturing (scanning), digitizing (OCR Reading), storing, tagging, and electronically routing and approving (e-signature) of electronic documents. # Demo : https://e-dokyumento.herokuapp.com/ https://edokyu.seillig.com/ (refer to Readme.md for the... -
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GANformer
Generative Adversarial Transformers
This is an implementation of the GANformer model, a novel and efficient type of transformer, explored for the task of image generation. The network employs a bipartite structure that enables long-range interactions across the image, while maintaining computation of linearly efficiency, that can readily scale to high-resolution synthesis. The model iteratively propagates information from a set of latent variables to the evolving visual features and vice versa, to support the refinement of... -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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Kite
Primary Kite repo, private bits replaced with XXXXXXX
The main Kite repo (originally kiteco/kiteco) was intended for private use. It has been lightly adapted for publication here by replacing private information with XXXXXXX. As a result, many components here may not work out of the box. We used a variety of infrastructure, on a mix of cloud platforms, depending on what was most economical, though it was mostly on AWS. You should be able to develop, build, and test Kite entirely on your local machine. However, we do have cloud instances & VMs... -
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Aseryla2
Aseryla2 code repositories
This project describes a model of how the semantic human memory represents the information relevant to the objects of the world in text format. It provides a system and a GUI application capable of extracting and managing concepts and relations from English texts. https://aseryla2.sourceforge.io/ -
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Following Instructions with Feedback
Training Language Models to Follow Instructions with Human Feedback
The following-instructions-human-feedback repository contains the code and supplementary materials underpinning OpenAI’s work in training language models (InstructGPT models) that better follow user instructions through human feedback. The repo hosts the model card, sample automatic evaluation outputs, and labeling guidelines used in the process. It is explicitly tied to the “Training language models to follow instructions with human feedback” paper, and serves as a reference for how OpenAI collects annotation guidelines, runs preference comparisons, and evaluates model behaviors. ... -
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Ozyr
Ozyr is a simple and easy to use OCR snipping tool
Ozyr is a simple and easy to use OCR snipping tool to get text from images so you can copy and edit it. Source Code: https://github.com/PETEROLO291/Ozyr Installer: 117MB Program: 524MB Version: 1.0 -
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AWS Step Functions Data Science SDK
For building machine learning (ML) workflows and pipelines on AWS
...You can create machine learning workflows in Python that orchestrate AWS infrastructure at scale, without having to provision and integrate the AWS services separately. The best way to quickly review how the AWS Step Functions Data Science SDK works is to review the related example notebooks. These notebooks provide code and descriptions for creating and running workflows in AWS Step Functions Using the AWS Step Functions Data Science SDK. In Amazon SageMaker, example Jupyter notebooks are available in the example notebooks portion of a notebook instance. To run the AWS Step Functions Data Science SDK example notebooks locally, download the sample notebooks and open them in a working Jupyter instance. -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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MACE
Deep learning inference framework optimized for mobile platforms
Mobile AI Compute Engine (or MACE for short) is a deep learning inference framework optimized for mobile heterogeneous computing on Android, iOS, Linux and Windows devices. Runtime is optimized with NEON, OpenCL and Hexagon, and Winograd algorithm is introduced to speed up convolution operations. The initialization is also optimized to be faster. Chip-dependent power options like big.LITTLE scheduling, Adreno GPU hints are included as advanced APIs. UI responsiveness guarantee is sometimes... -
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Project Alice
Main repository of Project Alice, contains main unit source code
...Since Snips (and the Project Alice team) strongly believe that decisions about your privacy should be made by you and you alone, these options are all disabled by default. The original code base was started at the end 2015 and several rewrites made it what it is today. It was entirely written by me Psycho until recently, where I decided to make the code openly available to the world. -
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Machine Learning in Asset Management
Machine Learning in Asset Management
Machine Learning in Asset Management is a research-oriented repository that explores how machine learning techniques can be applied to portfolio management and asset allocation. The project collects educational materials, code implementations, and experiments related to applying artificial intelligence methods in financial markets. It covers topics such as predictive modeling for asset prices, portfolio optimization strategies, and risk management using machine learning algorithms. The repository also includes references to academic research, tutorials, and datasets that help users understand how machine learning can enhance traditional investment strategies. ... -
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AI Platform Training and Prediction
Cloud ML Engine repo
...The repository covers the full machine learning lifecycle, including data preprocessing, model training, hyperparameter tuning, evaluation, and prediction serving. It also demonstrates how to scale from local training to distributed cloud-based training without major code changes, making it a valuable resource for transitioning workloads to production environments. Although the repository has been archived, it still provides extensive reference implementations and practical examples for learning cloud-based ML workflows. -
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BotsApp
Your personal assistant, on WhatsApp! The most user friendly userbot
...Head over to BotsApp's Official website and create an account on Heroku using your email ID. Once logged in, click on the "Deploy BotsApp" button in the sidebar. Scan the QR code shown using your WhatsApp account (3 dots on top right corner -> Linked devices -> LINK A DEVICE). Click on the 'Continue' button once done. Once the bot is linked to your account, you will come across a form that can be used to manage the settings/permissions of BotsApp. If required, change the form fields. Then, click on the submit button. ... -
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igel
Machine learning tool that allows you to train and test models
A delightful machine learning tool that allows you to train/fit, test, and use models without writing code. The goal of the project is to provide machine learning for everyone, both technical and non-technical users. I sometimes needed a tool sometimes, which I could use to fast create a machine learning prototype. Whether to build some proof of concept, create a fast draft model to prove a point or use auto ML. I find myself often stuck writing boilerplate code and thinking too much about where to start. ... -
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Machine Learning Financial Laboratory
MlFinLab helps portfolio managers and traders
...The library also includes tools for constructing specialized financial data structures, generating predictive features, and evaluating trading strategies through backtesting. Its architecture emphasizes reproducibility, robust testing, and well-documented code so that researchers and practitioners can reliably experiment with financial machine learning models. -
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Aquila X
Easy build your personal search engine with Aquila Network
Easy build your personal search engine with Aquila Network. Aquila X is the gateway to Aquila Network and it's applications. AquilaX is a smart bookmarking tool. You can keep your bookmarks and search through it's contents. Choose to keep all your data in a local server or in the cloud. This is an open source software and thus is auditable. -
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scikit-learn tips
50 scikit-learn tips
...Each tip typically demonstrates how specific components of scikit-learn, such as pipelines, preprocessing utilities, or model evaluation tools, should be applied in real projects. The repository focuses on improving the efficiency and clarity of machine learning code by showing how to structure preprocessing, model training, and evaluation steps properly. Many tips are accompanied by Jupyter notebooks that allow users to explore the code interactively and understand how the techniques work in practice. -
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ReinforcementLearningAnIntroduction.jl
Julia code for the book Reinforcement Learning An Introduction
This project provides the Julia code to generate figures in the book Reinforcement Learning: An Introduction(2nd). One of our main goals is to help users understand the basic concepts of reinforcement learning from an engineer's perspective. Once you have grasped how different components are organized, you're ready to explore a wide variety of modern deep reinforcement learning algorithms in ReinforcementLearningZoo.jl. -
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Bottender
A framework for building conversational user interfaces
...Design actions for each event and state in your application and Bottender will run accordingly. Bottender lets you create apps on every channel and never compromise on your users’ experience. This approach makes your code more predictable and easier to debug. You can apply progressive enhancement or graceful degradation strategy on your building blocks. There are thousands of bots powered by Bottender. It has been optimized for real-world use cases, automatic batching requests and dozens of other compelling features. With Bottender, you only need a few configurations to make your bot work with channels, automatic server listening, webhook setup, signature verification and so much more. ... -
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Next Generation Programming
Compose Software Without Writing Any Programing Code
"Next Generation Programming - Programming Without Coding Software" is a drag-drop wizard for creating simple or complex applications without writing any programming language code The Software is coded/designed with "Java Programming Language" for novice/expert programmers; Programmers can write softwares with visual tools : drag-drop components;visual editors... Programmers can use the software to compose of simple/complex applications : Database programs, circuit design, generate code and upload to chip for designed circuits (ESP8266, ESP32 chips) The Software in question is much simpler to use than PWCT (https://sourceforge.net/projects/doublesvsoop/) software. ... -
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Trax
Deep learning with clear code and speed
Trax is an end-to-end library for deep learning that focuses on clear code and speed. It is actively used and maintained in the Google Brain team. Run a pre-trained Transformer, create a translator in a few lines of code. Features and resources, API docs, where to talk to us, how to open an issue and more. Walkthrough, how Trax works, how to make new models and train on your own data. Trax includes basic models (like ResNet, LSTM, Transformer) and RL algorithms (like REINFORCE, A2C, PPO). ... -
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face3D chung is a small mesh editor with which you can create 3D obj model character avatar head objects with texture from a single photo of any man or woman for your games. Works by 3D & texture morphing .Uses freebasic apps gui_chung , loadobj3ds_chung and ancient openGL . Can run on a small netbook. .Added speaking avatars with moving lips using TTS_chung_dll and aiml_chung_dll aiml chatbot .Added online speaking avatar using HTML5 , javascript , jsc3d and custom elizabot like chatbot...
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VoiceFixer
General Speech Restoration
VoiceFixer is a machine-learning framework for “speech restoration”: given a degraded or distorted audio recording — with noise, clipping, low sampling rate, reverberation, or other artifacts — it attempts to recover high-fidelity, clean speech. The architecture works in two stages: first an analysis stage that tries to extract “clean” intermediate features from the noisy audio (e.g. removing noise, denoising, dereverberation, upsampling), and then a neural vocoder-based synthesis stage that... -
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DnCNN
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN
...This formulation allows efficient denoising, supports blind Gaussian noise (i.e. unknown noise levels), and can be extended to related tasks like image super-resolution or JPEG deblocking in some variants. The repository includes training code (using MatConvNet / MATLAB), demo scripts, pretrained models, and evaluation routines. Single model handling multiple noise levels.