shujakhalid Goto Github PK
Name: Shuja Khalid
Type: User
Company: PhD in ML @ U of T
Location: Toronto, ON
Blog: [email protected]
Name: Shuja Khalid
Type: User
Company: PhD in ML @ U of T
Location: Toronto, ON
Blog: [email protected]
Basic lambda function that uses the alexa sdk and is invoked when a voice command is sent to it through a third-party tool (echoism)
Back-end code that queues incoming requests and sends them to a proxy server until status is changes to "resolved"
Bounding box tool for Mask-RCNN image segmentation created using React
Uplift modeling and causal inference with machine learning algorithms
Run scripts to setup a google cloud virtual instance
Advanced Lane detection using OpenCV libraries
Lane finding algorithm
Tensorflow model for classifying traffic signs (Adapted from LeNet model)
Vehicle detection using an SVM classifier and computer vision methods
Practice for coputer vision algorithms in C++ and CUDA
Keras model for creating a model that can drive a car through a racetrack
Deep reinforcement learning basics using tutorial: https://becominghuman.ai/lets-build-an-atari-ai-part-0-intro-to-rl-9b2c5336e0ec
[NeurIPS'19] Deep Equilibrium Models
Transformers for vision and text tasks using the magic of DEQs
Creates a table using HTML, CSS, and JavaScript and calculates the shares of various users. It also allows for the dynamic creation of columns for additional users.
Scalable Application
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
Instant neural graphics primitives: lightning fast NeRF and more
ece1779 - Assignment 2
A collection of machine learning examples and tutorials.
Re-creating a simple implementation of Mamba using JAX and Pytorch.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Multiscale Deep Equilibrium Models
Inspired by Andrej Karpathy's amazing tutorial on micrograd [https://www.youtube.com/watch?v=VMj-3S1tku0]
[CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion. Semi-supervised VOS as well!
Coding practice for programming all ML algorithms from scratch in JAX/pytorch
Models and examples built with TensorFlow
Using Spacy and machine learning to perform sentiment analysis on reddit comments
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.