MZMSHAMIM (MZMSHAMIM1981)

MZMSHAMIM1981

Geek Repo

Location:Riyadh, Saudi Arabia

Home Page:www.linkedin.com/in/mzmshamim

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MZMSHAMIM's repositories

sensecap-wiki

https://wiki.seeedstudio.com/Getting_Started Seeed Studio Wiki source code

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dify

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

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ollama

Get up and running with Llama 3, Mistral, Gemma, and other large language models.

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open-webui

User-friendly WebUI for LLMs (Formerly Ollama WebUI)

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TensorRT-LLM

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

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notebooks

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

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crewAI

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

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moondream

tiny vision language model

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server

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

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Flowise

Drag & drop UI to build your customized LLM flow

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TensorRT

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

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Anima

33B Chinese LLM, DPO QLORA, 100K context, AirLLM 70B inference with single 4GB GPU

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SenseCraft-AI

An application suite including an open-source inference server and web UI to deploy any YOLOv8 model to NVIDIA Jetson devices and visualize captured streams, with one line of code.

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YOLOv9

YOLOv9 Implementation on Custom dataset

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YOLO-World

YOLO-World mplementation

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Speed-detection-of-vehicles

Speed estimation of Cars using YOLOv8 and speed calculation formula

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Detect--track-and-Count-using-YOLOv8

Step-by-step tutorial where you'll master the art of vehicle detection, tracking, and directional counting using YOLOv8

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ZLUDA

CUDA on AMD GPUs

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Portfolio

Project Portfolio

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VLSI-Fundamentals-Education-Kit

Gain an understanding of the fundamentals of Very Large-Scale Integration (VLSI), including how the theories and concepts can be applied in the design of simple logic circuits and in the physical implementation of a simplified microprocessor

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Embedded-Linux-Education-Kit

Develop an embedded Linux system on low-cost Arm based platforms

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Introduction-to-SoC-Design-Education-Kit

Gain an introductory knowledge to the basics of SoC design and key skills required to implement a simple SoC on an FPGA, and write embedded programs targeted at the microprocessor to control the peripherals

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Advanced-System-on-Chip-Design-Education-Kit

Design, implement, and test an Arm Cortex-A-based SoCs on FPGA hardware using functional specifications, standard hardware description and software programming languages

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Digital-Signal-Processing-Education-Kit

Implement Digital Signal Processing (DSP) systems and create audio applications using high performance and energy-efficient Arm processors

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Efficient-Embedded-Systems-Design-Education-Kit

Design and program Arm-based embedded systems and implement them in low-level hardware using standard C and assembly language.

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