Showing 1136 open source projects for "ai code editor"

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  • 1
    RQ-Transformer

    RQ-Transformer

    Implementation of RQ Transformer, autoregressive image generation

    Implementation of RQ Transformer, which proposes a more efficient way of training multi-dimensional sequences autoregressively. This repository will only contain the transformer for now. You can use this vector quantization library for the residual VQ. This type of axial autoregressive transformer should be compatible with memcodes, proposed in NWT. It would likely also work well with multi-headed VQ. I also think there is something deeper going on, and have generalized this to any number of...
    Downloads: 1 This Week
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  • 2
    GLIDE (Text2Im)

    GLIDE (Text2Im)

    GLIDE: a diffusion-based text-conditional image synthesis model

    ...As one of the early diffusion-based text-to-image systems, glide-text2im laid important groundwork for later advances in generative AI research.
    Downloads: 2 This Week
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  • 3
    bert4keras

    bert4keras

    Keras implement of transformers for humans

    Our light reimplementation of bert for keras. A cleaner, lighter version of bert for keras. This is the keras version of the transformer model library re-implemented by the author and is committed to combining transformer and keras with as clean code as possible. The original intention of this project is for the convenience of modification and customization, so it may be updated frequently. Load the pre-trained weights of bert/roberta/albert for fine-tune. Implement the attention mask...
    Downloads: 0 This Week
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  • 4
    EasyNLP

    EasyNLP

    EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

    ...It provides a unified framework of model training, inference, and deployment for real-world applications. It has powered more than 10 BUs and more than 20 business scenarios within the Alibaba group. It is seamlessly integrated to Platform of AI (PAI) products, including PAI-DSW for development, PAI-DLC for cloud-native training, PAI-EAS for serving, and PAI-Designer for zero-code model training.
    Downloads: 0 This Week
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  • 5
    CIPS-3D

    CIPS-3D

    3D-aware GANs based on NeRF (arXiv)

    3D-aware GANs based on NeRF (arXiv). This repository contains the code of the paper, CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis. The problem of mirror symmetry refers to the sudden change of the direction of the bangs near the yaw angle of pi/2. We propose to use an auxiliary discriminator to solve this problem. Note that in the initial stage of training, the auxiliary discriminator must dominate the generator more than the main discriminator...
    Downloads: 0 This Week
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  • 6
    GANformer

    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...
    Downloads: 0 This Week
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  • 7
    Machine Learning PyTorch Scikit-Learn

    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...
    Downloads: 11 This Week
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  • 8
    Deeplearning.ai

    Deeplearning.ai

    Study notes, summaries, and auxiliary materials for deep learning

    Deeplearning.ai collects study notes, summaries, and auxiliary materials aligned with the popular deep learning course series many learners take early in their AI journey. It distills core ideas such as optimization, regularization, convolutional networks, sequence models, and practical training tricks. The explanations aim to bridge theory and practice, often connecting mathematical intuition to code-level implications. By organizing the content as “books” or structured notes, it gives students a consistent reference to revisit as models and tooling evolve. ...
    Downloads: 1 This Week
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  • 9
    Kite

    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...
    Downloads: 5 This Week
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  • 10
    AI Platform Training and Prediction
    AI Platform Training and Prediction is a collection of machine learning example projects that demonstrate how to train, deploy, and serve models using Google Cloud AI Platform and related services. It includes a wide variety of implementations across frameworks such as TensorFlow, PyTorch, scikit-learn, and XGBoost, allowing developers to explore different approaches to building ML solutions.
    Downloads: 0 This Week
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  • 11
    MACE

    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...
    Downloads: 1 This Week
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  • 12
    face3D_chung
    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...
    Downloads: 9 This Week
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  • 13
    Machine Learning in Asset Management

    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...
    Downloads: 0 This Week
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  • 14
    Next Generation Programming

    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...
    Downloads: 1 This Week
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  • 15
    Accelerated Text

    Accelerated Text

    Accelerated Text is a no-code natural language generation platform

    A picture is worth a thousand words. Or is it? Tables, charts, pictures are all useful in understanding our data but often we need a description – a story to tell us what are we looking at. Accelerated Text is a natural language generation tool which allows you to define data descriptions and then generates multiple versions of those descriptions varying in wording and structure. Accelerated Text is a no-code natural language generation platform. It will help you construct document plans...
    Downloads: 1 This Week
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  • 16
    gpt-j-api

    gpt-j-api

    API for the GPT-J language mode. Including a FastAPI backend

    An API to interact with the GPT-J language model and variants! You can use and test the model in two different ways. These are the endpoints of the public API and require no authentication. Just SSH into a TPU VM. This code was tested on both the v2-8 and v3-8 variants.
    Downloads: 0 This Week
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  • 17
    Old Photo Restoration

    Old Photo Restoration

    Bringing Old Photo Back to Life (CVPR 2020 oral)

    We propose to restore old photos that suffer from severe degradation through a deep learning approach. Unlike conventional restoration tasks that can be solved through supervised learning, the degradation in real photos is complex and the domain gap between synthetic images and real old photos makes the network fail to generalize. Therefore, we propose a novel triplet domain translation network by leveraging real photos along with massive synthetic image pairs. Specifically, we train two...
    Downloads: 6 This Week
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  • 18
    Hands-on Unsupervised Learning

    Hands-on Unsupervised Learning

    Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

    This repo contains the code for the O'Reilly Media, Inc. book "Hands-on Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data" by Ankur A. Patel. Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to the holy grail in AI research, the so-called general artificial intelligence.
    Downloads: 1 This Week
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  • 19
    TNN

    TNN

    Uniform deep learning inference framework for mobile

    ...On the mobile phone, TNN has been used by many applications such as mobile QQ, weishi, and Pitu. As a basic acceleration framework for Tencent Cloud AI, TNN has provided acceleration support for the implementation of many businesses. Everyone is welcome to participate in the collaborative construction to promote the further improvement of the TNN inference framework.
    Downloads: 1 This Week
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  • 20
    Couler

    Couler

    Unified Interface for Constructing and Managing Workflows

    Couler is a system designed for unified machine learning workflow optimization in the cloud. Couler endeavors to provide a unified interface for constructing and optimizing workflows across various workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow. Couler enhances workflow efficiency through features like Autonomous Workflow Construction, Automatic Artifact Caching Mechanisms, Big Workflow Auto Parallelism Optimization, and Automatic Hyperparameters Tuning.
    Downloads: 0 This Week
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  • 21
    Tabnine

    Tabnine

    Vim client for TabNine

    Tabnine is an AI-powered code completion extension trusted by millions of developers around the world. Whether you’re just getting started as a developer or if you’ve been doing it for decades, Tabnine will help you code twice as fast with half the keystrokes – all in your favorite IDE. Whether you call it IntelliSense, intelliCode, autocomplete, AI-assisted code completion, AI-powered code completion, AI copilot, AI code snippets, code suggestion, code prediction, code hinting, or content assist, you probably already know that it can save you tons of time, easily cutting your keystrokes in half. ...
    Downloads: 1 This Week
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  • 22
    Awesome AI-ML-DL

    Awesome AI-ML-DL

    Awesome Artificial Intelligence, Machine Learning and Deep Learning

    Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics. This repo is dedicated to engineers, developers, data scientists and all other professions that take interest in AI, ML, DL and related sciences. To make learning interesting and to create a place to easily find all the necessary material. Please contribute, watch, star, fork and share the repo with others in your community.
    Downloads: 2 This Week
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  • 23
    Semantic Segmentation Editor

    Semantic Segmentation Editor

    Web labeling tool for bitmap images and point clouds

    A web-based labeling tool for creating AI training data sets (2D and 3D). The tool has been developed in the context of autonomous driving research. It supports images (.jpg or .png) and point clouds (.pcd). It is a Meteor app developed with React, Paper.js, and three.js.
    Downloads: 0 This Week
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  • 24
    Travesty

    Travesty

    Parody text generator

    A parody text generator. This is taken from the article published in BYTE Magazine in 1984. Literary critic Hugh Kenner and computer scientist Joseph O'Rourke introduced their text scrambler "Travesty" in an issue of BYTE magazine 1984. See the Wikipedia page for more information. The code has been mostly preserved, I've just added a GUI to make it easier to play around with the options and included a copy of Alice in Wonderland. A Windows binary is available on the releases page. Parody...
    Downloads: 1 This Week
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  • 25
    Deep Exemplar-based Video Colorization

    Deep Exemplar-based Video Colorization

    The source code of CVPR 2019 paper "Deep Exemplar-based Colorization"

    The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization". End-to-end network for exemplar-based video colorization. The main challenge is to achieve temporal consistency while remaining faithful to the reference style. To address this issue, we introduce a recurrent framework that unifies the semantic correspondence and color propagation steps. Both steps allow a provided reference image to guide the colorization of every frame, thus reducing accumulated propagation...
    Downloads: 171 This Week
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