ahmadfaisal9900 Goto Github PK
Name: Ahmad Faisal Mirza
Type: User
Bio: A 3rd Year Electrical Engineering Student interested in Machine/Deep Learning. Currently learning how to implement Deep Reinforcement Learning for 6G Networks
Name: Ahmad Faisal Mirza
Type: User
Bio: A 3rd Year Electrical Engineering Student interested in Machine/Deep Learning. Currently learning how to implement Deep Reinforcement Learning for 6G Networks
A 4-Bit Microprocessor with two general purpose registers and nine instructions constructed on simulator.io
A Description of AlexNet written in Brevitas to be quantized into 8 bit floating point numbers.
Fine Tuning an Arabic Transcription Model form Hugging Face to perform real time audio transcription from Arabic audio to text.
Performing Semantic Segmentation on the Indian Driving Dataset
Bitcoin Core integration/staging tree
Quantized Neural Networks (QNNs) on PYNQ using Dataflow Architecture
Brevitas: neural network quantization in PyTorch
Developed an advanced diagnostic model for lung disease detection from X-ray images, incorporating traditional machine learning and Inception-v3 deep learning, achieving a high accuracy of 96.25%. An additional attention-based Vision Transformer approach further validated the model's robustness with a 92% accuracy.
Proteus Design for a Cricket Score Board - not much else to say.
Had a free Sunday so I made a trigger bot. That's it.
ElectionGuard is a set of open source software components that can be used to create and publish end to end verifiable elections as well create a publishable artifact for ballot comparison audits.
A software using OpenCV and Pytorch that performs real time emotion recognition using your front camera
Random DSA Repo (minus the graphs and heaps because I'm lazy)
A comparison of several ML/DL techniques for Fault Classification of 3 Phase Induction Motor - We are detecting upto 6 faults with 99% accuracy!
Convolution Neural Network written in MATLAB using a dataset from Kaggle. Gives upto 93% accuracy! Dataset link: https://www.kaggle.com/datasets/masoudnickparvar/brain-tumor-mri-dataset
Using the TMDB 5000 Dataset, built a Movie Recommender including a frontend that outputs 5 similar movies when given a movie.
Short Snippet implementing Neural Style Transfer using Tensorflow Hub
Random very basic GAN Model.
This project developed a glove for sign language translation specifically for Pakistani Sign Language. Sensors on the glove track hand and finger positions, with this data fed into an Artificial Neural Network (ANN). The ANN classifies the signs, converting them into spoken audio output. Achieved 98.2% accuracy on the test set.
Cleaning and Classification of a group of people, into whether they smoke or not based off given parameters.
Short Snippet implementing an algorithm that outlines a brain tumour from an MRI scan in MATLAB.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.