obiohagwu Goto Github PK
Name: Michael Ohagwu
Type: User
Bio: BSc Computer Science Honors University of Ottawa
Twitter: obiohagwu
Location: Ottawa, Canada
Name: Michael Ohagwu
Type: User
Bio: BSc Computer Science Honors University of Ottawa
Twitter: obiohagwu
Location: Ottawa, Canada
An implementation on PointNet architecture. More to come
About A collection of AWESOME things about information geometry Topics
Building code chat app
I enjoy listening to old, long books.
A calibration challenge
An implementation of a simple Game of life cellular automaton iteration.
A simple document sentiment classifier implemented using a simple CBoW.
An implementation of the EfficentNet paper for optimal scaling with minimal data. Will do more in time.
Folder for embedded learning. Trying to gain more bare-metal programming knowledge
Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios
A short introduction to GAN's by implementing some GAN papers. Will do more on this in time.
Primary aim of this research project is not necessarily to make the most advanced or precise open-dialog bot, but rather to get an introduction into NLP using Generative pre-training model.
A tiny school project on relational database system. We use MySql and Python with TkinterGUI library
Brief project on head pose estimation. Getting a bit more interested in user experience in XR devices. This seems useful for that.
A mini project on Huffman encoding and compression. Part of my undergrad DSA course.
Instant neural graphics primitives: lightning fast NeRF and more
Using Kruskal's algorithm for a simple clustering assignment.
solving algos and DS
Implementing a lidar RANSAC algorithm in multiple paradigms.
Inference Llama 2 in one file of pure C [Obi's finetuned version]
A super simple introduction ot practical RL with LunarLander
Machine translation task with transformer architecture
Medical Imaging segmentation application implemented via MAIR's SAM model
Understanding MoE models via merging frankenstein models
An implementation of a double Unet for microscopic image segmentation
A folder of multiple RL implementations. Rnadom mini stuff
Running a series of benchmarks for silicon mlx on M1 chip with 8GB RAM
The simplest, fastest repository for training/finetuning medium-sized GPTs.
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.