Search Results for "gpu processing" - Page 4
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Showing 193 open source projects for "gpu processing"
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Imaging Instruments Lite
Image processing App for Windows Desktop
Imaging Instruments lite is a comprehensive image processing application developed following the Model-View-Controller (MVC) design pattern, utilizing Python, Tkinter, and OpenCV. It provides users with image manipulation capabilities, leveraging multi-threading with OpenMP and GPU acceleration using CUDA-C. Fueled by yerba mate and a passion for coding. Created by Agustin Tortolero. -
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Warlock-Studio
AI Suite for upscaling, interpolating & restoring images/videos
...Warlock-Studio is a Windows application that uses Real-ESRGAN, BSRGAN, IRCNN, GFPGAN, RealESRNet, RealESRAnime and RIFE Artificial Intelligence models to upscale, restore faces, interpolate frames and reduce noise in images and videos. the application supports GPU acceleration (including multi-GPU setups) and offers batch processing for large workloads. It includes drag-and-drop handling for single or multiple files, optional pre-resize functions, and an automatic tiling system designed to overcome GPU VRAM limitations. -
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Imaging Instruments
High-performance image processing C++ application for Windows Desktop
...With multi-threading support via OpenMP and GPU acceleration through CUDA-C, Imaging Instruments provides lightning-fast image processing, unlocking the full capabilities of modern hardware. Built and designed by Agustin Tortolero. Fueled by copious amounts of yerba mate. website: https://agustintortolero.pythonanywhere.com/ Source code: https://github.com/agustinTortolero/Imaging-Instruments -
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A2M — Audio to MIDI
A2M is a desktop app that converts AUDIO TO MIDI in one click.
...Using A2M is straightforward: Select an audio file, click Convert, and the application generates a MIDI file automatically in your Downloads/A2M folder. All processing is done locally on your device, no uploads, no accounts, and no telemetry. The app runs on CPU by default, with optional NVIDIA GPU acceleration for faster conversions. Project links: Website: justagwas.com/projects/a2m GitHub: github.com/Justagwas/a2m Documentation: https://github.com/Justagwas/a2m/wiki A2M is fully open source and operates only on the files you choose. ... -
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comer2
COMER2, cross-platform software for protein remote homology search
...COMER version 2.1 (COMER2) represents one of the fastest implementations of calculations for sensitive protein homology search. High COMER2 performance is achieved by harnessing the power of the Graphics processing unit (GPU). Hence, a GPU is expected to be installed on the system. The files include the compressed source code and associated and accompanying files for use with COMER2. The source code is also available on GitHub (https://github.com/minmarg/comer2). COMER2 is licensed under GNU General Public License version 3. Please find the LICENSE and COPYING files included in the software package. ... -
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gVirtualXRay
Virtual X-Ray Imaging Library on GPU
gVirtualXRay is a C++ library to simulate X-ray imaging. It is based on the Beer-Lambert law to compute the absorption of light (i.e. photons) by 3D objects (here polygon meshes). It is implemented on the graphics processing unit (GPU) using the OpenGL Shading Language (GLSL). SimpleGVXR is a smaller library build on the top of gVirtualXRay. It provides wrappers to Python, R, Ruby, Tcl, C#, Java, and GNU Octave. -
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TorchQuantum
A PyTorch-based framework for Quantum Classical Simulation
...Researchers on quantum algorithm design, parameterized quantum circuit training, quantum optimal control, quantum machine learning, and quantum neural networks. Dynamic computation graph, automatic gradient computation, fast GPU support, batch model terrorized processing. -
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Bandicoot
fast C++ library for GPU linear algebra & scientific computing
* Fast GPU linear algebra library (matrix maths) for the C++ language, aiming towards a good balance between speed and ease of use * Provides high-level syntax and functionality deliberately similar to Matlab * Provides an API that is aiming to be compatible with Armadillo for easy transition between CPU and GPU linear algebra code * Useful for algorithm development directly in C++, or quick conversion of research code into production environments * Distributed under the permissive Apache 2.0 license, useful for both open-source and proprietary (closed-source) software * Can be used for machine learning, pattern recognition, computer vision, signal processing, bioinformatics, statistics, finance, etc * Downloads: http://coot.sourceforge.io/download.html * Documentation: http://coot.sourceforge.io/docs.html * Bug reports: http://coot.sourceforge.io/faq.html * Git repo: https://gitlab.com/conradsnicta/bandicoot-code -
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xm-crypter-miner
Power of a computer or specialized hardware to mine cryptocurrencies
A crypto miner tool that is updated from cpuminer and is a software application designed to harness the processing power of a computer or specialized hardware to mine cryptocurrencies. It performs complex mathematical calculations to validate and secure transactions on a blockchain network, helping to maintain the decentralized nature of the currency. The tool typically supports various cryptocurrencies and allows users to configure parameters such as mining algorithms, pool settings, and... -
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Roblox Shaders
Roblox Shader – Download on Any GPU
Roblox Shader – Universal Graphics Enhancement for All GPUs Roblox Shader is a high-performance, universal shader mod designed to enhance Roblox graphics with realistic lighting, shadows, and post-processing effects. This shader pack is optimized for all graphics cards, including NVIDIA, AMD, and Intel GPUs, ensuring compatibility across virtually any system. Whether you're looking to improve Roblox visuals with better lighting or want a more immersive gaming experience, Roblox Shader... -
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HunyuanVideo-I2V
A Customizable Image-to-Video Model based on HunyuanVideo
HunyuanVideo-I2V is a customizable image-to-video generation framework developed by Tencent, extending the capabilities of HunyuanVideo. It allows for high-quality video creation from still images, using PyTorch and providing pre-trained model weights, inference code, and customizable training options. The system includes a LoRA training code for adding special effects and enhancing video realism, aiming to offer versatile and scalable solutions for generating videos from static image inputs. -
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unwarp
Increase image resolution by eliminating atmospheric distortion
Unwarp is an open-source tool that enhances image resolution by eliminating scintillations caused by atmospheric turbulence and similar distortion phenomena. The software processes a series of images of the same subject, aligning and stacking them using advanced feature selection algorithms and phase correlation approaches. The core technique matches features between images, applies triangulation across the entire frame, and warps each pixel to its optimal position. The resulting aligned... -
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KeyKiller-Cuda
Solving the Satoshi Puzzle
KeyKiller is a GPU-accelerated version of the KeyKiller project, designed to achieve extreme performance in solving Satoshi Nakamoto's puzzles using modern NVIDIA GPUs. KeyKiller CUDA pushes the limits of cryptographic key search performance by leveraging CUDA, thread-beam parallelism, and batch EC operations. The command-line version is open-source and free to use. For the paid advanced graphics version, please visit: https://gitlab.com/8891689/KeyKiller-Cuda/ -
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ElectricBlue-Ethereum-Miner
ElectricBlue Ethereum Miner is an easy-to-use Windows ETH mining softw
...ElectricBlue Ethereum Miner is an easy-to-use Windows ETH mining software that lets anyone mine Ethereum directly from their PC or laptop — no expensive hardware or middleman needed. ⚙️ How It Works: ElectricBlue connects you straight to trusted Ethereum mining pools, allowing your computer to contribute processing power and earn ETH coins directly into your wallet. Once you reach 0.1 ETH, you can instantly withdraw your balance — simple, secure, and automatic! 💡 Why Choose ElectricBlue Ethereum Miner? ✅ Works on any Windows PC or laptop ✅ Direct mining to ETH pools (no third-party fees) ✅ Real-time balance updates ✅ Automatic ETH withdrawals at 0.1 threshold ✅ Beginner-friendly setup — start in minutes 📘 Recommended For: Beginners learning how to mine Ethereum Crypto enthusiasts looking for easy ETH mining software Users who want to mine Ethereum without a GPU rig -
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AudioEnhancerMAX
Open-source AI audio processing suite: 100% local, free, no limits.
AudioEnhancerMAX is the open-source AI-powered audio media center for podcasters, creators, and professionals. It runs 100% locally on your hardware — no cloud, no subscriptions, no limits. Features: 16+ intelligent audio filters (AI noise removal, filler word detection, breath reduction, studio sound, audio super-resolution), Gemma 4 AI dynamic parameter tuning, distributed edge computing across Android smartphones, real-time system monitoring for Apple Silicon. Built with FastAPI,... -
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director-ai
Real-time LLM hallucination guardrail — NLI + RAG fact-checking
...Core capabilities: - Token-level streaming halt: stops generation the moment hallucination is detected - NLI scoring via DeBERTa/FactCG: 75.8% balanced accuracy on 29,320 LLM-AggreFact samples - RAG knowledge grounding: vector store integration with Chroma, FAISS, Pinecone, Weaviate, Qdrant, Elasticsearch - 14.6ms GPU latency (GTX 1060, ONNX), 0.5ms/pair on L40S FP16 - Rust-accelerated BM25 (10.2x speedup) and signal processing Integrations: LangChain, LlamaIndex, LangGraph, CrewAI, Haystack, DSPy, Semantic Kernel, SDK Guard (OpenAI/Anthropic/Bedrock/Gemini/Cohere) Domain presets: medical, finance, legal, customer support, summarisation, creative Security: Sigstore-signed, SLSA provenance, OpenSSF Best Practices (100%), AGPL-3.0 with commercial licensing pip install director-ai https://github.com/anulum/director-ai -
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Roblox Shaders Master
Roblox Shader – Download for Any GPU
Roblox Shader – Universal Graphics Enhancement for All GPUs Roblox Shader is a high-performance, universal shader mod designed to enhance Roblox graphics with realistic lighting, shadows, and post-processing effects. This shader pack is optimized for all graphics cards, including NVIDIA, AMD, and Intel GPUs, ensuring compatibility across virtually any system. Whether you're looking to improve Roblox visuals with better lighting or want a more immersive gaming experience, Roblox Shader... -
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Free Fps. Video FPS Converter
Desktop app to change a video FPS
Free FPS is an open‑source desktop app and scripts to change a video file frame rate (FPS) using FFmpeg. Unlike video editors, it does not add effects or alter content - it only adjusts playback speed and, if needed, re-encodes audio as well. Useful if you work with multiple videos shot at different frame rates that cannot be combined or edited without interpolation or frame loss. Also doubles as a fast video compressor: keep the original FPS and raise compression (e.g., higher CRF or... -
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Transformers4Rec
Transformers4Rec is a flexible and efficient library
Transformers4Rec is an advanced recommendation system library that leverages Transformer models for sequential and session-based recommendations. The library works as a bridge between natural language processing (NLP) and recommender systems (RecSys) by integrating with one of the most popular NLP frameworks, Hugging Face Transformers (HF). Transformers4Rec makes state-of-the-art transformer architectures available for RecSys researchers and industry practitioners. Traditional recommendation... -
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Parallel and Distributed Process System
NOTICE OF CONSOLIDATION & PARTNERSHIP PENDING As of April 2026, the 20
NOTICE OF CONSOLIDATION & PARTNERSHIP PENDING As of April 2026, the 20 pipelines of the QCAUS/PDPBioGen suites are undergoing consolidation for high-scale institutional research. Core 'Ford 2026' algorithms remain the proprietary IP of the Ford Peace and Justice Foundation. Academic users at partner institutions are currently performing validation; all other commercial inquiries must contact the author Computational Neuroscience: Large-scale neural population dynamics, brain-inspired... -
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Chinese-LLaMA-Alpaca 2
Chinese LLaMA-2 & Alpaca-2 Large Model Phase II Project
This project is developed based on the commercially available large model Llama-2 released by Meta. It is the second phase of the Chinese LLaMA&Alpaca large model project. The Chinese LLaMA-2 base model and the Alpaca-2 instruction fine-tuning large model are open-sourced. These models expand and optimize the Chinese vocabulary on the basis of the original Llama-2, use large-scale Chinese data for incremental pre-training, and further improve the basic semantics and command understanding of... -
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NeedLR
Welcome to NeedLR, a scientific tool for pointcloud annotation.
Welcome to NeedLR, a specialized tool for Needle-like precision in Labeling and Rendering point cloud data. NeedLR offers an intuitive interface for detailed annotation and visualization of pointcloud data, perfect for academic research, ecological studies, and forestry management. The application leverages advanced algorithms to efficiently process and annotate large-scale point cloud data, ensuring high accuracy and ease of use. To use NeedLR: Download and unzip the file and run the... -
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EvaDB
Database system for building simpler and faster AI-powered application
...Running these deep learning models on large document or video datasets is costly and time-consuming. For example, the state-of-the-art object detection model takes multiple GPU years to process just a week’s videos from a single traffic monitoring camera. Besides the money spent on hardware, these models also increase the time that you spend waiting for the model inference to finish. -
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text-dedup
All-in-one text de-duplication
text-dedup is a Python library that enables efficient deduplication of large text corpora by using MinHash and other probabilistic techniques to detect near-duplicate content. This is especially useful for NLP tasks where duplicated training data can skew model performance. text-dedup scales to billions of documents and offers tools for chunking, hashing, and comparing text efficiently with low memory usage. It supports Jaccard similarity thresholding, parallel execution, and flexible... -
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Demucs
Code for the paper Hybrid Spectrogram and Waveform Source Separation
Demucs (Deep Extractor for Music Sources) is a deep-learning framework for music source separation—extracting individual instrument or vocal tracks from a mixed audio file. The system is based on a U-Net-like convolutional architecture combined with recurrent and transformer elements to capture both short-term and long-term temporal structure. It processes raw waveforms directly rather than spectrograms, allowing for higher-quality reconstruction and fewer artifacts in separated tracks. The...
