Search Results for "nvidia%20gpu%20mod"
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Showing 10 open source projects for "nvidia%20gpu%20mod"
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OpenHardwareMonitor
Free open source tool for real-time PC hardware sensor monitoring
...It provides real-time insights into key system metrics such as temperatures, fan speeds, voltages, load percentages, and clock speeds by reading directly from sensors embedded in CPUs, GPUs, motherboards, and storage devices. The tool supports a wide range of sensor hardware found on modern systems, including Intel and AMD processors, NVIDIA and AMD graphics cards, SMART temperature sensors on storage drives, and many motherboard monitoring chips. Users can view monitored data directly within the application, as customizable desktop gadgets, or through a system tray interface, making it easy to keep an eye on system health at a glance. OpenHardwareMonitor runs without the need for a traditional installation (it can be run portably) and on systems configured with the appropriate runtime (e.g., .NET or Mono). -
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Scalene
High-performance CPU, GPU, and memory profiler for Python
Scalene is a high-performance CPU, GPU and memory profiler for Python that does a number of things that other Python profilers do not and cannot do. It runs orders of magnitude faster than other profilers while delivering far more detailed information. Once Scalene has profiled your program, it will launch a web browser with an interactive user interface (all processing is done locally). Hover over bars to see breakdowns of CPU and memory consumption, and click on underlined column headers... -
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PC_Workman_HCK
AI-powered PC monitoring that explains. Not shows numbers/spikes.
...Features: - Time travel monitoring - debug issues from hours ago - AI diagnostics with HCK_GPT - Custom fan curves with profiles - Floating always-on-top widget - 2D system map - Cross-GPU support (NVIDIA/AMD/Intel) Four complete rebuilds. 29 features killed. 24,000 lines of optimized code. No team. Solo Dev. BUILD-IN-PUBLIC Free because good tools should be. Alpha v1.6.3—real tools built on real constraints. -
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enhancr
Video Frame Interpolation & Super Resolution using NVIDIA's TensorRT
...The GUI was designed to provide a stunning experience powered by state-of-the-art technologies without feeling clunky and outdated like other alternatives. It features blazing-fast TensorRT inference by NVIDIA, which can speed up AI processes significantly. Pre-packaged, without the need to install Docker or WSL (Windows Subsystem for Linux) - and NCNN inference by Tencent which is lightweight and runs on NVIDIA, AMD and even Apple Silicon - in contrast to the mammoth of an inference PyTorch is, which only runs on NVIDIA GPUs. -
Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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NIM Pools Hub Miner
CPU & GPU Nimiq Miner for NVIDIA & AMD
Nimiq Miner with a focus on user experience and ease of use. -
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DreamTime
Use artificial intelligence to create images
The easiest-to-use application to create fake images from photos and videos. Available for Windows, Linux, and Mac. By being open-source you can build a version for your operating system. Source code is available and totally free, without premium versions or cracks. More stable than DeepNude and easy to use thanks to its modern design. Create the body of your dreams, increase or decrease the size of the body parts or leave everything to random. Don't just stay with static photos, you can... -
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DICOM Image Reader
A minimal Medical application to read and view DICOM (dcm) image file
...It is based DWV JavaScript opensource library. =============== Requirements: - Processor: Intel Pentium 4 processor or later that's SSE2 capable - RAM: 512 MB - Hard Disk: 1500 MB - Video Card: nVidia, ATI and Intel Shader Model 2 and Shader Model 3 video cards with 512 megabytes of RAM minimum - Supported OS: Windows 10, Windows 8, Windows 8.1, Windows 7 =============== Alternative software for Windows: Available on Ecwid - https://goo.gl/twBcAq =============== Android App: https://goo.gl/i4NX9K -------------- Chrome app Release Pro: https://goo.gl/p456N5 -
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GPU Tracking nvidia-smi
Open Hardware Monitor watcher realtime upload data to server
Open Hardware Monitor watcher real-time upload data to the server. -
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Basic WebPage Builder
Drag and Drop basic webpage builder
.... ==== Official download also on Softpedia® - https://bit.ly/2AGwc7a ==== Requirements: - Processor: Intel Pentium 4 processor or later that's SSE2 capable - RAM: 512 MB - Hard Disk: 1500 MB - Video Card: nVidia, ATI and Intel Shader Model 2 and Shader Model 3 video cards with 512 megabytes of RAM minimum - Supported OS: Windows 10, Windows 8, Windows 8.1, Windows 7 -
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Virtual Media Station
In The Cloud Computing On Java
Proof That Carma Always Gets You Back Nvidia / Cuda Developer Directed Of Course To The Confusion And Scare Tactics Of Haters This Only Gets Better And Tighter And Even More Creative The Design Feed Of Sound The Whole Idea
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