Search Results for "novel."
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Showing 60 open source projects for "novel."
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1
CatBoost
High-performance library for gradient boosting on decision trees
CatBoost is a fast, high-performance open source library for gradient boosting on decision trees. It is a machine learning method with plenty of applications, including ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. CatBoost offers superior performance over other GBDT libraries on many datasets, and has several superb features. It has best in class prediction speed, supports both numerical and categorical features, has a fast and scalable... -
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Apache Doris
MPP-based interactive SQL data warehousing for reporting and analysis
Apache Doris is a modern MPP analytical database product. It can provide sub-second queries and efficient real-time data analysis. With it's distributed architecture, up to 10PB level datasets will be well supported and easy to operate. Apache Doris can meet various data analysis demands, including history data reports, real-time data analysis, interactive data analysis, and exploratory data analysis. Make your data analysis easier! Support standard SQL language, compatible with MySQL... -
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TensorRT
C++ library for high performance inference on NVIDIA GPUs
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning inference applications. TensorRT-based applications perform up to 40X faster than CPU-only platforms during inference. With TensorRT, you can optimize neural network models trained in all major frameworks, calibrate for lower precision with high accuracy, and deploy to hyperscale data centers,... -
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rwkv.cpp
INT4/INT5/INT8 and FP16 inference on CPU for RWKV language model
Besides the usual FP32, it supports FP16, quantized INT4, INT5 and INT8 inference. This project is focused on CPU, but cuBLAS is also supported. RWKV is a novel large language model architecture, with the largest model in the family having 14B parameters. In contrast to Transformer with O(n^2) attention, RWKV requires only state from the previous step to calculate logits. This makes RWKV very CPU-friendly on large context lengths. -
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ExCon Imager
Gigapixel GPU accelerated radio interferometric imager
ExCon can create images with a very wide field of view (more than billion pixels). It implements novel gridding and image weighting algorithms. It is well suited to make ultra deep radio interferometric images, minimizing aliasing artefacts and PSF variation. NVIDIA GPU acceleration is available. JAVA/SCALA support available. -
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CAMPARI
Software for molecular simulations and trajectory analysis
We are proud to introduce version 5 of CAMPARI. We have added a number of new features, most notably a Python interface for interpreting user-supplied code (with the help of ForPy), a novel trajectory storage standard (with the help of libpqxx/PostgreSQL), and a module for performing transition path theory. Naturally, CAMPARI continues to provide the reference implementation of the ABSINTH force field paradigm and implicit solvation model. CAMPARI is a joint package for performing and analyzing molecular simulations, in particular of systems of biological relevance. ... -
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Direct LiDAR-Inertial Odometry
A new lightweight LiDAR-inertial odometry algorithm
DLIO is a new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction. It features several algorithmic improvements over its predecessor, DLO, and was presented at the IEEE International Conference on Robotics and Automation (ICRA) in London, UK in 2023. -
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The Family Pack
TFP is a multi-platform, evidence based, genealogy program.
The Family Pack is a multi-platform genealogy program with a new evidence based database. All the standard genealogy program features are planned plus some new and novel ones. -
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MAGPIE
A real-time upscaling software that can upscale any application
A real-time upscaling software that can upscale any application or game window. Forked from Blinue/Magpie, with the intention of maintaining Visual Novel specific presets. Run Magpie and keep it open in the background / minimize to tray. Open the desired game / visual novel in windowed mode. Use Alt + F11 hotkeys to upscale your game window using magpie. Modify the ScaleModels.json if you want your very own custom stack of presets to use with Magpie. You'll need to start Magpie as admin if you want to upscale a game that's also running with admin privileges. ... -
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10
SmartKnob
Haptic input knob with software-defined endstops and virtual detents
SmartKnob is an open‑source hardware/software hybrid rotary input device featuring software-configurable end-stops and virtual detents, facilitated by a brushless gimbal motor and magnetic encoder—offering programmable haptic feedback and a novel, tactile user interface. 240x240 round LCD ("GC9A01"), protected by 39.5mm watch glass on rotor. BLDC gimbal motor, with a hollow shaft for mechanically & electrically connecting the LCD. PCB flexure and SMD resistors used as strain gauges for press detection (haptic feedback provided via the motor). USB-C (2.0) connector for 5V power and serial data/programming (CH340). ... -
11
sRNAWorkbench
The UEA sRNA Workbench
A suite of tools for analysing small RNA (sRNA) data from Next Generation Sequencing devices. Including expression profiling of known mirco RNA (miRNA), identification of novel miRNA in deep-sequencing data and identification of other interesting landmarks within high-throughput genetic data -
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miRPV
miRPV: An automated pipeline for miRNA Prediction and Validation in si
miRPV is an Automated tool that allows users to predict and validate microRNA from genome/gene sequence. System Requirement CPU: AMD64 (64bit) Memory: 2Gb RAM Storage: 5Gb Ubuntu 18.04 -
13
JuMarker
Creation and Detection of Customized Fiducial Markers
...However, their industrial appearance deters their use in scenarios where an attractive and visually appealing look is required. In these cases, it would be preferable to use customized markers showing, for instance, a company logo. This work proposes a novel method to design, detect, and track customizable fiducial markers. Our work allows creating markers templates imposing few restrictions on its design, e.g., a company logo or a picture can be used. The designer must indicate positions into the template where bits will encode a unique identifier for each marker. Then, our method will automatically create a dictionary of markers, all following the same design, but each with a unique identifier. -
14
Tensor Algebra Compiler
The Tensor Algebra Compiler (taco) computes sparse tensor expressions
...Tensors can be stored in a variety of storage formats, including commonly-used sparse matrix and tensor formats like CSR and COO as well as specialized formats like CSF. Under the hood, TACO employs a novel compiler-based technique to generate kernels that are optimized for the computations you want to perform. This lets TACO achieve performance that exceeds the MATLAB Tensor Toolbox by up to several orders of magnitude and that is competitive with other high-performance sparse linear/tensor algebra libraries like Eigen, Intel oneMKL, and SPLATT. -
15
LBSP
Real-Time Processing Library for OSHW Biomedical Sensors
Applications involving data acquisition from sensors need samples at a preset frequency rate, the filtering out of noise and/or analysis of certain frequency components. We propose a novel software architecture based on open-software hardware platforms which allows programmers to create data streams from input channels and easily implement filters and frequency analysis objects. The performances of the different classes given in the size of memory allocated and execution time (number of clock cycles) were analyzed in the low-cost platform Arduino-Genuino. ... -
16
Rotations Conversion Library
Library for working with 3D rotations in C++
The Rotations Conversion Library (RCL) is a collection of C++ functions that address common computations and numerical handling of rotations in 3D Euclidean space, including support for rotation matrices (`Rotmat`), Quaternions (`Quat`), intrinsic ZYX Euler angles (`Euler`), fused angles (`Fused`) and tilt angles (`Tilt`). In addition to the core competency of being able to convert between each of the representations, operations such as inversion, ZYX yaw extraction, fused yaw extraction,... -
17
irayMol
Molecular visualization
Analyses and Interactive visualizations of the structures, functions and actions of biomolecules including molecular surface computation, and protein-ligand interface and protein-ligand docking where the ligand could a small compound, a nucleic acid, membrane and other proteins, written in C++/Qt/openGL/GLSL with more than 125,000 lines of codes. In addition to Qt, the only external library needed is GSL everything else is coded from the scratch. -
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Memory Manager: MDX
Memory Manager: MDX = malloc() + free() + Garbage Collection
...The callback performs the marking phase of garbage collection, using MDX's mark() method to actually mark the wanted memory blocks. Finalization is similarly accomplished by callback. The rest of the garbage collection process is managed automatically by MDX. The novel approach of allowing finalization to explicitly free memory offers the potential for improving garbage collection performance. This is achieved by moving some work from being done repetitively during every marking cycle, to being done once only when the memory's freed. See the project web site at the link below for more information. -
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Random Bits Forest
RBF: a Strong Classifier/Regressor for Big Data
...It first generates and selects ~10,000 small three-layer threshold random neural networks as basis by gradient boosting scheme. These binary basis are then feed into a modified random forest algorithm to obtain predictions. In conclusion, RBF is a novel framework that performs strongly especially on data with large size. -
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The Rope Java Virtual Machine implements the Rope model which is a novel thread level speculative execution model called Rushing Object Parallel Environment. This is a research project aimed at exploiting parallelism in traditional object oriented programs.
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Community Detection Modularity Suite
Suite of community detection algorithms based on Modularity
- MixtureModel_v1r1: overlapping community algorithm [3], which includes novel partition density and fuzzy modularity metrics. - OpenMP versions of algorithms in [1] are available to download. - Main suite containing three community detection algorithms based on the Modularity measure containing: Geodesic and Random Walk edge Betweenness [1] and Spectral Modularity [2]. Collaborator: Theologos Kotsos -
22
skewer
A fast and sensitive adapter trimmer for illumina paired-end sequences
This program implements a novel dynamic programming algorithm dedicated to the task of adapter trimming and it is specially designed for processing illumina paired-end sequences. -
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denovo_hit
Outputs potential denovo variants from VCF given pedigree information.
Program takes variants calls and determines if the call is novel for a child compared to parents. Program can handle both annotated and unannotated VCF files, however output file is not compatible with GATK's snpEff, so you should annotate prior to using denovo_hit. Usage: ./denovo_hit <VCF file> <PED file> Output: ./potential_denovo.txt To compile: g++ -std=c++11 denovo_hit.cpp -o denovo_hit Please see files for example VCF file, and pedigree file. -
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Story Curve Driven Plot Generator
Using the concept of story curve to manage the drama development.
(This is a work-in-progress, currently preparing for field test.) We present a novel approach to automatic interactive mission generation for computer games that emphasize the story aspect of a mission and aims to ensure coherence and interestingness of the story. The development of the stories in the generated missions are influenced by both the desired story curve and the inputs from the player. -
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LightSpMV
lightweight GPU-based sparse matrix-vector multiplication (SpMV)
LightSpMV is a novel CUDA-compatible sparse matrix-vector multiplication (SpMv) algorithm using the standard compressed sparse row (CSR) storage format. We have evaluated LightSpMV using various sparse matrices and further compared it to the CSR-based SpMV subprograms in the state-of-the-art CUSP and cuSPARSE. Performance evaluation reveals that on a single Tesla K40c GPU, LightSpMV is superior to both CUSP and cuSPARSE, with a speedup of up to 2.60 and 2.63 over CUSP, and up to 1.93 and 1.79 over cuSPARSE for single and double precision, respectively.
