Search Results for "joint" - Page 2
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Showing 105 open source projects for "joint"
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MetaTransformer
Meta-Transformer for Unified Multimodal Learning
We're thrilled to present OneLLM, an ensembling Meta-Transformer framework with Multimodal Large Language Models, which performs multimodal joint training, supports more modalities including fMRI, Depth, and Normal Maps, and demonstrates very impressive performances on 25 benchmarks. -
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FungiRegEx
FungiRegEx
This tool is a web-based search engine for regular expressions in the proteomes, all the information is obtained from the JGI (Joint Genome Institute) database through a scraper for all the available species; therefore this tool only considers fungi organisms. In this version, we use React JS in front-end and NodeJS + Express for back-end. Full Documentation Available on: https://victormiguelterronmacias.slite.page/p/J7BJU3hXhd72EJ/FungiRegEx-Software-documentation If you want to buy me a coffee: https://www.paypal.com/donate/?... -
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iJEPA
Official codebase for I-JEPA
i-JEPA (Image Joint-Embedding Predictive Architecture) is a self-supervised learning framework that predicts missing high-level representations rather than reconstructing pixels. A context encoder sees visible regions of an image and predicts target embeddings for masked regions produced by a slowly updated target encoder, focusing learning on semantics instead of texture. -
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Hyperformer
Hypergraph Transformer for Skeleton-based Action Recognition
This is the official implementation of our paper "Hypergraph Transformer for Skeleton-based Action Recognition." Skeleton-based action recognition aims to recognize human actions given human joint coordinates with skeletal interconnections. By defining a graph with joints as vertices and their natural connections as edges, previous works successfully adopted Graph Convolutional networks (GCNs) to model joint co-occurrences and achieved superior performance. More recently, a limitation of GCNs is identified, i.e., the topology is fixed after training. ... -
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FrankMocap
A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator
FrankMocap is a monocular 3D human capture system that estimates body, hand, and optionally face pose from a single RGB image or video. It regresses parametric human models (e.g., SMPL/SMPL-X) directly, producing temporally stable meshes and joint angles suitable for animation or analytics. The pipeline couples a robust 2D keypoint detector with 3D mesh regression networks and priors that keep results anatomically plausible. It can run frame-by-frame or with temporal smoothing, and includes demo apps for live webcam capture as well as batch processing. Outputs include textured meshes, joint locations, and model parameters that can be exported to common DCC tools and game engines. ... -
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MTCNN Face Detection Alignment
Joint Face Detection and Alignment
MTCNN_face_detection_alignment is an implementation of the “Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks” algorithm. The algorithm uses a cascade of three convolutional networks (P-Net, R-Net, O-Net) to jointly detect faces (bounding boxes) and align facial landmarks in a coarse-to-fine manner, leveraging multi-task learning. Non-maximum suppression and bounding box regression at each stage. -
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JDFTx
Joint Density Functional Theory
JDFTx is a plane-wave density functional theory code designed for electronic structure theory development. One prominent unique capability is the treatment of solvated electronic systems using joint density functional theory. Please see http://jdftx.org for download and compile instructions, tutorials, documentation and citation information. -
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WaveRNN
WaveRNN Vocoder + TTS
...For custom TTS, the project guides you through training Tacotron, forcing GTA spectrogram export when desired, training WaveRNN with or without GTA, and then running joint generation. -
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NestProfessor Programmer Edition
Nesting SDK, Library
This is a SDK which can nest/layout the part/geometry/polygon on the material or sheet intelligently, you can get the best utilization of the materials, this SDK also support read/write DXF/DWG files and part-in-part nesting. New nesting lagorithm is implenmented, more good to support true shape part or material. -
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NTU RGB-D
Info and sample codes for "NTU RGB+D Action Recognition Dataset"
The “NTU RGB+D” repository provides access to a large-scale dataset for human action recognition (and its extension, NTU RGB+D 120). The dataset includes multiple modalities (RGB video, depth sequences, infrared video, 3D skeletal joint data) captured with multiple Kinect v2 cameras simultaneously. The repository also contains MATLAB / Python demo scripts for loading, visualizing, and processing skeleton data, mapping between modalities, and handling dataset structure. Multi-modal action recognition dataset, RGB, depth, infrared, skeletal data. Split into background / evaluation sets for one-shot evaluation (in the extended dataset). -
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TimeSformer
The official pytorch implementation of our paper
...TimeSformer was influential in showing that pure transformer architectures—without convolutional backbones—can perform strongly on video classification tasks. Its flexible attention design allows experimenting with different factoring (spatial-then-temporal, joint, etc.) to trade off compute, memory, and accuracy. -
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DensePose
A real-time approach for mapping all human pixels of 2D RGB images
DensePose is a computer vision system that maps all human pixels in an RGB image to the 3D surface of a human body model. It extends human pose estimation from predicting joint keypoints to providing dense correspondences between 2D images and a canonical 3D mesh (such as the SMPL model). This enables detailed understanding of human shape, motion, and surface appearance directly from images or videos. The repository includes the DensePose network architecture, training code, pretrained models, and dataset tools for annotation and visualization. ... -
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Linux Test Project
Testsuite to validate the reliability, robustness, stability of Linux.
Linux Test Project (LTP) is a joint project started by SGI, OSDL and Bull developed and maintained by SUSE, Red Hat, Fujitsu, IBM, Cisco, Oracle and others. The project goal is to deliver tests to the open source community that validate reliability, robustness, and stability of the Linux Kernel. The testing suites contain a collection of tools for testing the Linux kernel and related features. -
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Awesome Graph Classification
Graph embedding, classification and representation learning papers
A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations. Relevant graph classification benchmark datasets are available. Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations. -
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ChIP-BIT2
ChIP-BIT2 detects weak binding sites of TFs or HMs.
...ChIP-BIT2 is an extended version of the ChIP-BIT method: a method designed mainly for detecting narrow peaks in promoter regions as described in the following paper: Xi Chen et al., "ChIP-BIT: Bayesian inference of target genes using a novel joint probabilistic model of ChIP-seq profiles", Nucleic Acids Res (2016) 44 (7): e65. -
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Multilingual Speech Synthesis
An implementation of Tacotron 2 that supports multilingual experiments
This repository provides synthesized samples, training and evaluation data, source code, and parameters for the paper One Model, Many Languages: Meta-learning for Multilingual Text-to-Speech. It contains an implementation of Tacotron 2 that supports multilingual experiments and that implements different approaches to encoder parameter sharing. It presents a model combining ideas from Learning to speak fluently in a foreign language: Multilingual speech synthesis and cross-language voice... -
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VideoPose3D
Efficient 3D human pose estimation in video using 2D keypoint
VideoPose3D is a deep learning framework that reconstructs 3D human poses from 2D keypoint sequences extracted from videos. It builds on top of convolutional and temporal networks that map 2D joint coordinates over time to consistent 3D skeletons, enabling robust motion capture without specialized sensors. The model is trained on large motion capture datasets and can generalize well to unseen environments by leveraging temporal context for smoothing and error correction. By using only 2D detections (such as those from OpenPose or Detectron), it enables markerless 3D pose estimation with relatively lightweight computational requirements. ... -
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SparkyOS
Open Source solution to your small business
This project is not active for a while, but it has potential and should be re-activated. If you'd like to support or joint the project simply use the kontakt (contact) page to do so. -
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VoteNet
Deep Hough Voting for 3D Object Detection in Point Clouds
VoteNet is a 3D object detection framework for point clouds that combines deep point set networks with a Hough voting mechanism to localize and classify objects in 3D space. It tackles the challenge that object centroids in 3D scenes often don’t lie on any input surface point by having each point “vote” for potential object centers; these votes are then clustered to propose object hypotheses. Once cluster centers are formed, the network regresses bounding boxes around them and classifies... -
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CUDA-JMI
Tool for feature selection using the JMI metric and multiple GPUs
CUDA-JMI is a parallel tool to accelerate the feature selection process using Joint Mutual Information as metric. This tool receives as input a file with ARFF, CVS or LIBSVM extensions that contais the values of m individuals and n features and returns a file with those features that provide more non-rendundant information. -
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Killer Keks Train
Herzlich Willkommen bei den Killer Keksen
...Nun die MC Version 1.7.10 läuft im forge noch am Stabilsten und hat noch mehr Mods als eine 1.12. oder höher und eine 1.7.10 benötigt halb soviel Leistung als eine Neuere Version. Ihr findet unser Modpack unter https://www.technicpack.net/modpack/killer-keks-train.995944 . Ihr habt jetzt lust mitzumachen dann joint Teamspeak 3: k3ks3.de oder Discord: https://discordapp.com/invite/Er5PYY?utm_source=Discord%20Widget&utm_medium=Connect Welcome to the Killer Cookies We are a gamming community that has existed since 2007. Since 2015, we are in the field of modding on the road and have 2017 this Modpack on its feet, it includes so zermally all aspects of Minecraft. -
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A joint effort between multiple isometric projects to create free animated 2d graphics rotated in 8 directions for isometric RPG Games including tools to help in their creation.
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Office League
An league table for offices to have competitions during tournaments
...It works similar to an office sweep stake where each person is assigned a team. However, instead of just a single team assigned to each person, 1 or more teams can be assigned and their joint scores provide a person's total score. Each person is placed in a joint league table and ranked. Furthermore, people can be grouped together in departments and the league can also be shown by departments. The whole system can easily be installed onto a PHP/MySQL server and setup in just a few minutes. Furthermore, the competition results can be gathered using an automatic online API or manually entered. ... -
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BPPS-SIPRIS
sequence/structural analysis programs
A suite of statistically-based programs for inferring joint sequence-structural determinants of protein functional specificity written in C/C++ within a linux environment. -
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Saros brings multi-writer synchronous distributed editing to the Eclipse IDE, e.g. for joint code reviews, explaining code remotely, or distributed pair programming -- all also for more than 2 participants; we call this Distributed Party Programming. It includes refined awareness functionality, text chat, and a simple distributed whiteboard/sketching facility. Eclipse Update Site: https://www.saros-project.org/update-site/eclipse
