Search Results for "point" - Page 4
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Showing 157 open source projects for "point"
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HunyuanWorld-Voyager
RGBD video generation model conditioned on camera input
HunyuanWorld-Voyager is a next-generation video diffusion framework developed by Tencent-Hunyuan for generating world-consistent 3D scene videos from a single input image. By leveraging user-defined camera paths, it enables immersive scene exploration and supports controllable video synthesis with high realism. The system jointly produces aligned RGB and depth video sequences, making it directly applicable to 3D reconstruction tasks. At its core, Voyager integrates a world-consistent video... -
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MyChatGPT
OSS standalone ChatGPT client
This is a OSS standalone ChatGPT client. It is based on ChatGPT. The client works almost just like the original ChatGPT websites but it includes some additional features. I wanted to use ChatGPT but I didn't want to pay a fixed price if I have days where I barely use it. So I created this client that almost works like the original. The 20 dollar price tag on ChatGPT is a bit steep for me. I don't want to pay for a service I don't use. I also don't want to pay for a service that I use only a... -
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AXEM-SX
AXEM-SX is a modular, performance-driven operating system
...AXEM-SX is not a generic redistribution, but a structured system built with intentional design choices to improve usability, responsiveness, and operational clarity, Each release is packaged as a bootable ISO image for direct testing, installation, or deployment. This project serves as the official distribution point for AXEM-SX releases. -
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Fuzzy sets for Ada
Fuzzy sets, logic, numbers; intuitionistic fuzzy sets, fuzzy linguis
Fuzzy sets for Ada is a library providing implementations of confidence factors with the operations not, and, or, xor, +, and *, classical fuzzy sets with the set-theoretic operations and the operations of the possibility theory, intuitionistic fuzzy sets with the operations on them, fuzzy logic based on the intuitionistic fuzzy sets and the possibility theory; fuzzy numbers, both integer and floating-point with conventional arithmetical operations, and linguistic variables and sets of linguistic variables with operations on them. String-oriented I/O is supported. A rich set of GTK+ GUI widgets is provided. -
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MATLAB Deep Learning Model Hub
Discover pretrained models for deep learning in MATLAB
Discover pre-trained models for deep learning in MATLAB. Pretrained image classification networks have already learned to extract powerful and informative features from natural images. Use them as a starting point to learn a new task using transfer learning. Inputs are RGB images, the output is the predicted label and score. -
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Django friendly finite state machine
Django friendly finite state machine support
Django-fsm adds simple declarative state management for Django models. If you need parallel task execution, view, and background task code reuse over different flows - check my new project Django-view flow. Instead of adding a state field to a Django model and managing its values by hand, you use FSMField and mark model methods with the transition decorator. These methods could contain side effects of the state change. You may also take a look at the Django-fsm-admin project containing a... -
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LexiFinder
AI-powered semantic indexing: automating the creation of book indexes
...Given one or more source documents and a set of keywords, it extracts all nouns, compares them semantically to the keywords using a pretrained NLP model, and produces a structured, hierarchical index ready to be included in a book or manuscript. LexiFinder works in two ways: as a command-line tool for scripting, automation, and batch processing, and as a graphical application for a guided, point-and-click experience. Both interfaces share the same underlying engine and support the same features. Supported input formats are PDF, DOCX, and ODT. The index can be exported as plain text, JSON, CSV, or HTML. -
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General Knowledge Machine Project
Intellect Modeling Kit: assisting research, diagnostics, consulting
We humans are bound by intellectual abilities. All knowledge is far beyond power of any person. The only way to apply knowledge is to build machines able to present it human way but not limited by volume. Intellect Modeling Kit (IMK) is intended to build knowledge machines (KM) assisting experts on the steps of activity: * Observation; * Producing propositions based on knowledge; * Elimination of impossible propositions; * Selection and verification of the most appropriate... -
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Arthur Bench
Bench is a tool for evaluating LLMs for production use cases
...Whether you are comparing different LLMs, considering different prompts, or testing generation hyperparameters like temperature and # tokens, Bench provides one touch point for all your LLM performance evaluation. -
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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OpenAI Quickstart Python
Python example app from the OpenAI API quickstart tutorial
...The repository also includes environment setup guides and example scripts, such as a simple Flask web app for chat interactions, allowing developers to test OpenAI API integrations locally. Overall, openai-quickstart-python serves as an essential starting point for developers looking to prototype and experiment with OpenAI-powered apps. -
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GPT-2
Code for the paper Language Models are Unsupervised Multitask Learners
This repository contains the code and model weights for GPT-2, a large-scale unsupervised language model described in the OpenAI paper “Language Models are Unsupervised Multitask Learners.” The intent is to provide a starting point for researchers and engineers to experiment with GPT-2: generate text, fine‐tune on custom datasets, explore model behavior, or study its internal phenomena. The repository includes scripts for sampling, training, downloading pre-trained models, and utilities for tokenization and model handling. Support for memory-saving gradient techniques/optimizations during training. ... -
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text-to-video-synthesis-colab
Text To Video Synthesis Colab
...The project also includes tools for watermark removal and model experimentation. It is designed for creators, researchers, and developers exploring generative video AI. Overall, it provides an accessible entry point into text-to-video synthesis workflows. -
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SSD in PyTorch 1.0
High quality, fast, modular reference implementation of SSD in PyTorch
...Smooth and enjoyable training procedure: we save the state of model, optimizer, scheduler, training iter, you can stop your training and resume training exactly from the save point without change your training CMD. -
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CoTracker
CoTracker is a model for tracking any point (pixel) on a video
CoTracker is a learning-based point tracking system that jointly follows many user-specified points across a video, rather than tracking each point independently. By reasoning about all tracks together, it can maintain temporal consistency, handle mutual occlusions, and reduce identity swaps when trajectories cross. The model takes sparse point queries on one frame and predicts their sub-pixel locations and a visibility score for every subsequent frame, producing long, coherent trajectories. ... -
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DragGAN
Official Code for DragGAN (SIGGRAPH 2023)
DragGAN is a research-driven image editing system that enables precise manipulation of GAN-generated images through interactive point dragging. The project introduces a novel workflow where users move specific points in an image and the model intelligently deforms the content while preserving realism. Built on top of StyleGAN architectures, the tool operates directly on the learned generative manifold to maintain photorealistic consistency. It combines feature-based motion supervision with a robust point-tracking mechanism to ensure accurate edits during user interaction. ... -
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ConsistencyDecoder
Consistency Distilled Diff VAE
...The repository includes installation instructions, usage examples, and visual comparisons to highlight improvements. Though compact, it provides an accessible entry point for experimenting with advanced decoding strategies in diffusion-based generative models. -
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tdsft
TDSFT (Two-Dimensional Segmentation Fusion Tool)
...Two-Dimensional Segmentation Fusion Tool (TDSFT) is an open-source tool developed in MATLAB and distributed as a standalone application for MAC, Linux, and Windows, which offers a simple and extensible interface where numerous algorithms are proposed to "mediate" (e.g., process and fuse) multiple segmentations. TDSFT is a tool made with ease of use as a fixed point, to support and help medical specialists during their work. In addition, TDSFT is designed to be easily extended with new algorithms thanks to a dedicated graphical interface for configuring new parameters. For advanced users, we provide also a GitHub page: https://github.com/UniBoDS4H/TDSFT -
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D2L.ai
Interactive deep learning book with multi-framework code
...The entire book is drafted in Jupyter notebooks, seamlessly integrating exposition figures, math, and interactive examples with self-contained code. Offers sufficient technical depth to provide a starting point on the path to actually becoming an applied machine learning scientist. -
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Edge GPT
Reverse engineered API of Microsoft's Bing Chat
...As with many reverse-engineered clients, it depended on upstream behavior that could change, and the project’s lifecycle reflected that reality. The repository was later archived, meaning it is read-only and no longer actively maintained, but it remains a reference point for how developers approached unofficial access to Bing Chat. In essence, EdgeGPT served as a bridge between an interactive chat -
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SkyAGI
SkyAGI: Emerging human-behavior simulation capability in LLM
SkyAGI is a python package that demonstrates LLM's emerging capability in simulating believable human behaviors. Specifically, SkyAGI implements the idea of Generative Agents and delivers a role-playing game that creates a very interesting user experience. Different from previous AI-based NPC systems, SkyAGI's NPC generates very believable human responses. The interesting observations in this demo show a huge potential for rethinking game development in many aspects, such as NPC script... -
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AB3DMOT
Official Python Implementation for "3D Multi-Object Tracking
AB3DMOT is a real-time 3D multi-object tracking framework designed for applications such as autonomous driving and robotics perception. The system processes detection results from 3D object detectors that analyze LiDAR point clouds and uses them to track multiple objects across consecutive frames. Its tracking pipeline relies on a combination of classical algorithms, including a Kalman filter for state estimation and the Hungarian algorithm for data association between detected objects and existing tracks. This relatively simple design allows the tracker to achieve very high processing speeds while maintaining competitive tracking accuracy. ... -
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ChatGPT Plugins Collection
An unofficial collection of Plugins for ChatGPT
...The collection provides a variety of plugin implementations that showcase different use cases, helping developers learn how to extend ChatGPT’s functionality. It is designed to serve both as a learning resource for beginners and a reference point for more experienced developers. By centralizing community contributions, the repository highlights practical applications of plugins across domains such as productivity, data access, and automation. The project also serves as a starting point for developers interested in building their own custom plugins, offering inspiration and code samples. ... -
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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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Point-E
Point cloud diffusion for 3D model synthesis
point-e is the official repository for Point-E, a generative model developed by OpenAI that produces 3D point clouds from textual (or image) prompts. Its principal advantage is speed: it can generate 3D assets in just 1–2 minutes on a single GPU, which is significantly faster than many competing text-to-3D models. The model works via a two-stage diffusion approach: first, it uses a text → image diffusion network to produce a synthetic 2D view consistent with the prompt; then a second diffusion model converts that image into a 3D point cloud. ... -
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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...
