Projects using CUDA
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Raj Pathak
pro
GPU Mining 4 Qubitcoin Custom Build CUDA NVIDIA GPU LINUX UBUNTU
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Alessandro Federici
pro
AF Speech: Offline AI Desktop App Development
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31
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Kheng Ling Beh
CUDA Software Development Consultation
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12
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Youssef Hemimy
MRHF-Codec — Neural Audio Codec Research (+40dB over Meta's DAC)
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44
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EL MEHDI HICHAM
TactiVision STEP 3 — Football AI Dashboard: KPIs, Heatmaps, Pass Maps & Tactical Reports STEP_3 (https://www.linkedin.com/search/results/all/?keywords=%23step_3&origin=HASH_TAG_FROM_FEED): Data Extraction & Analytics Engine ✅ After completing detection, tracking, re-identification, and tactical mapping, the next milestone was turning the visual pipeline into a real football intelligence dashboard. STEP 3 is now focused on transforming raw match video into structured KPIs, tactical maps, live match insights, and detailed automated reports. For this demo, I tested the system on hashtag#Morocco (https://www.linkedin.com/search/results/all/?keywords=%23morocco&origin=HASH_TAG_FROM_FEED) vs hashtag#Haiti (https://www.linkedin.com/search/results/all/?keywords=%23haiti&origin=HASH_TAG_FROM_FEED) match footage, with a full tactical dashboard running around the video feed. Special mention to Fédération Royale Marocaine de Football (https://www.linkedin.com/company/f%C3%A9d%C3%A9ration-royale-marocaine-de-football/) and FIFA World Cup 2026™ - Canada, Mexico and the United States (https://www.linkedin.com/company/fifa-world-cup-2026-united-north-america-canada-usa-mexico/)— this demo is part of my ongoing work to explore how computer vision can transform football video into tactical intelligence
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Biruk Zewde
Why drop in a 3rd-party package when you can engineer the engine? I had a standard Flutter YouTube package sitting right there. One dependency. Seven lines of boilerplate. I could have shipped it and gone to bed. Instead, I went down to the bare metal. I spent my nights engineering Aura Trinity—a sovereign media ingestion and compositing engine built directly from raw bitstreams. 4 languages. 3 layers. 0 external SDKs. 📊 The Numbers: • 16 concurrent live streams composited simultaneously without a single dropped frame • 512-stream architecture built for carrier-grade ingestion density • Hardware-accelerated pipeline: 100% transcode offload to the NVIDIA GPU via CUVID / NVENC ⚙️ The Technical Trinity: 🦀 Rust (The Network Core): High-throughput async I/O handling 512 concurrent TCP/UDP sockets with Tokio. Zero leaks, zero runtime overhead. ⚙️ C++ (The Bitstream Engine): Direct FFI interop walking raw H.264 NAL units and executing bitstream-level forensic watermarking directly in the DCT domain. 🌐 Node.js (The Edge Ingestion): A diskless proxy intercepting dynamic N-signatures through direct V8 memory piping to eliminate 403 Forbidden throttling at scale. Most packages give you a feature. Architecture gives you absolute control and leverage. I chose the architecture. 🎯 Currently exploring high-impact roles in Systems Architecture, Distributed Video Infrastructure, and Performance Engineering. 🔗 Deep-dive docs & architecture diagrams: • Framework: [Link] • Systems Architecture: [Link] (Links also pinned in the comments below) #SystemsEngineering #Rust #CPP #CUDA #FFmpeg #MediaStreaming #PerformanceEngineering #DistributedSystems #LowLevel
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Jose Luis Sánchez-Horneros
Crunch Cancellation - Doritos
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Ibrahim Abedrabbo
AI System Optimization with TensorRT Engines
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50
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Nehemiah Harvard
pro
This will offend some people. Good. Because this isn’t built for beginners, hobby traders, or people watching YouTube “crypto tips.” If you’re still asking “Which coin should I buy?” Close this. This is for people who already play the game • Traders moving serious capital • Teams managing fragmented wallets across chains • Builders who are tired of duct-taping 10 tools together • Operators who don’t trust platforms that can leak, lag, or break We replaced all of it. One system. AI watching markets 24/7. End-to-end encryption across EVERYTHING. Wallet + messaging + intelligence built as one. No excuses. No hand-holding. No shortcuts. Either you need this… or you’re not there yet.
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Chithra Radhakrishnan
AI QA & Release Dashboard Building modern software is more than writing code—it's about delivering quality with confidence. This AI-powered QA & Release Dashboard helps development teams monitor automated testing, API health, CI/CD pipelines, defect analysis, and release readiness from a single platform. Key Features ✅ AI Defect Analysis ✅ Playwright & Selenium Automation ✅ REST API Testing ✅ CI/CD Pipeline Monitoring ✅ Release Readiness Score ✅ Performance Analytics ✅ Interactive SaaS Dashboard Tech Stack: React • Next.js • TypeScript • Node.js • Python • Playwright • PostgreSQL • MongoDB • Docker • GitHub Actions • OpenAI API I'm passionate about building scalable web applications, AI-powered platforms, and modern QA automation solutions that help businesses ship reliable software faster. 💬 Open to freelance and long-term collaboration. #AI #FullStackDeveloper #ReactJS #NextJS #SoftwareTesting #Playwright #QAAutomation #WebDevelopment #SaaS #DevOps #OpenAI #TypeScript #NodeJS #Contra
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Abhijeet Jha
A modern AI infrastructure tool that estimates GPU VRAM requirements for LLM inference, fine-tuning, and quantization. It helps ML engineers configure a model workload, understand where memory is consumed, and identify suitable GPU hardware before deployment.
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潇烽 邓
AI Video Generation Workflow — Local Deployment & Automation🎉
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50
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Sobhan Bahrami
MoEDCoder | Diffusion Mixture-of-Experts SLM
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3
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Dustin Cummings
I developed GORS as an alpha-stage governed AI research and validation environment focused on human authority, evidence lineage, continuity, contradiction preservation, and replayable decision history. Internal testing examined whether consequential AI-assisted workflows could remain reviewable, traceable, and reconstructable under controlled conditions.
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Shawn Dsouza
WhatFishDo: A Behavior Annotation Tool for Videos
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4
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Nithish Rajan
License Plate Recognition with YOLOv4 and Tesseract OCR
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4
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