Search Results for "processor cpu"
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Showing 11 open source projects for "processor cpu"
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Jittor
Jittor is a high-performance deep learning framework
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators. The whole framework and meta-operators are compiled just in time. A powerful op compiler and tuner are integrated into Jittor. It allowed us to generate high-performance code specialized for your model. Jittor also contains a wealth of high-performance model libraries, including image recognition, detection, segmentation, generation, differentiable rendering, geometric learning, reinforcement... -
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AIMi AI Aimbot
AIMi its an AI aimbot, it work by real-time object detection
...It is built around neural network detection and OpenCV processing rather than direct modification of game files. The project presents itself as a beta implementation, with current behavior depending heavily on processor performance, model accuracy, and screen conditions. It includes a simple object-detector interface so users can see how the system recognizes targets during testing. The repository describes a CPU-heavy version with limited GPU usage and notes plans for faster GPU-oriented improvements. Because it is designed around game targeting behavior, it should only be discussed and used in authorized, accessibility-focused, private, or noncompetitive environments. -
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SageMaker TensorFlow Serving Container
A TensorFlow Serving solution for use in SageMaker
...Amazon SageMaker uses Docker containers to run all training jobs and inference endpoints. The Docker images are built from the Dockerfiles in docker/. The Dockerfiles are grouped based on the version of TensorFlow Serving they support. Each supported processor type (e.g. "cpu", "gpu", "ei") has a different Dockerfile in each group. If your are testing locally, building the image is enough. But if you want to your updated image in SageMaker, you need to publish it to an ECR repository in your account. You can also run your container locally in Docker to test different models and input inference requests by hand. -
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FARM
Fast & easy transfer learning for NLP
...With FARM you can build fast proofs-of-concept for tasks like text classification, NER or question answering and transfer them easily into production. Easy fine-tuning of language models to your task and domain language. AMP optimizers (~35% faster) and parallel preprocessing (16 CPU cores => ~16x faster). Modular design of language models and prediction heads. Switch between heads or combine them for multitask learning. Full Compatibility with HuggingFace Transformers' models and model hub. Smooth upgrading to newer language models. Integration of custom datasets via Processor class. Powerful experiment tracking & execution. -
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Debox GNU/Linux Live CD
Debox Linux is a live distro based on Debian distribution and Openbox
...Debox Live CD is full persistence capable so you can store your favorite data on hard disk/USB stick. Debox Live CD can run in old computers that have more of 256MB of Ram whith a 700MHz CPU (but strongly advised 2GB of Ram and unleast 2Ghz CPU) -
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Microcode update notification
Small startup script that notifies update info about CPU micorcode
Even a CPU has a little firmware inside. Since a lot of years it is possible to update it to fix little or bigger bugs. Usually this operation is done while updating your motherboard's BIOS, and the update is permanent. But thanks to the architecture of the linux kernel, we can update it at the last version every time we boot our OS. This is a really fast operation brought to you by microcode.ctl (in Ubuntu), and it permits to avoid waiting for an updated closed-source BIOS to solve bugs; it... -
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netmonsql
Network performance monitoring and logging script for Cisco devices.
NetMon_Cisco_to_SQL.py is a basic network performance monitoring and logging script for Cisco devices. It gathers parameters (CPU Utilization, Used Processor Memory, Used IO Memory, UP Ethernet Interfaces density, in percent velues) from Cisco routers by parsing command outputs and exports them to a MySQL database. NetMon_Query.py is a query script for the MySQL database in the form of an interactive menu for generating statistics. Tools used for coding and testing: Python 2.7.3, MySQL Server 5.5.37, GNS3, Linux. ... -
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pyCPU
Python Hardware Processor
The Python Hardware Processsor is a implementation of a Hardware CPU in Myhdl. The CPU can directly execute something very similar to python bytecode (but only a very restricted instruction set). The Programm code for the CPU can be written directly in python (very restricted parts of python). This code is then converted by a small python programm to this restricted python bytecode. Since the hardware description is also in python, the slightly modified bytecode an then automatically loaded... -
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Monitors CPU Temperature from command line in Fahrenheit and Celsius and gives results of highest and lowest temperatures, and average over period of time run, then logs the data. Requires ACPI.
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GFreqlet is a GNOME applet for Linux that not only monitors CPU frequency scaling, but also allows the end user to change the frequency or governor with just a click. It automatically detects which frequencies and governors your processor supports.
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Monty compiler
Low level programming language and compiler
Low level programming language and compiler close to python. Intended for experiments with in processor design. Consists of language definition, compiler and simple cpu simulation written in python. The compiler can be adapted to different processors easily.
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