Muhammad Faizan (faizan1234567)

faizan1234567

Geek Repo

Company:NUST Islamabad

Location:Pakistan

Home Page:https://medium.com/@engr_faizan_ml

Twitter:@engrfaizan786

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Muhammad Faizan's repositories

BraTS23-Tumors-Segmentation

Brain tumors segmentation on 3D MRI images. The model has been trained on BratTS20 and BraTS21 datasets, and now working with BraTS23.

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8-Puzzle-A-Star-Search

This repository contains C++ implementation of A* search algorithm for finding path to goal state for 8 puzzle problem in AI.

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Assignments

Course assignments

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sentence-classification

Implementation of classification of grammatically correct sentences and wrong sentences, and integration of MLOps tools.

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medium-blog-posts-code

medium blog posts code

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Recognition-and-gradient-based-localization-of-chest-radiographs

Disease diagnoses in chest radiographs with different neural network architectures, and models activations localization using grad-cam. The whole implementation is in Pytorch.

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sentiment-analysis-and-text-generation

This repository contains implementation to sentiment analysis and text generation on sarcasm dataset and generating poetry like text.

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Neural-Networks-in-Numpy

implementation of multi layers perceptron in Numpy from scratch

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a-PyTorch-Tutorial-to-Object-Detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

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Awesome-LLM-RAG

Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models

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chroma

the AI-native open-source embedding database

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CKD-TransBTS

Brain tumor segmentation on BraTS21 dataset

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CoLab

[TMI2023] Context Label Learning: Improving Background Class Representations in Semantic Segmentation.

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courses

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

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faizan1234567

my profile

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JCSAugment

[TMI2023] Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation.

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jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

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llm-applications

A comprehensive guide to building RAG-based LLM applications for production.

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LLMSurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

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nanodet

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

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pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

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pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

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RAG-Powered-Chatbot-with-LLM

Development of RAG powered LLM chatbot for Question answering related to NUST school of interdisciplinary engineering & sciences (SINES)

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self-rag

This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.

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super-gradients

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

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TarDAL

CVPR 2022 | Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection.

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tqdm

:zap: A Fast, Extensible Progress Bar for Python and CLI

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Verba

Retrieval Augmented Generation (RAG) chatbot powered by Weaviate

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yolov9

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

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