Kobby Panford-Quainoo's Projects
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
An Introduction to Deep Generative Modeling: Examples
How to calibrate your neural network classifier: Getting accurate probabilities from a classification model
Python notebooks for kNN Tutorial paper
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
A simple, performant and scalable Jax LLM!
Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
Self-contained, minimalistic implementation of diffusion models with Pytorch.
šŗ A place to discover the latest machine learning courses on YouTube.
A collection of resources to learn about MLOPs.
Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch
Config files for my GitHub profile.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Kobby's blog
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Code snippets created for the PyTorch discussion board
SKAI is a machine learning based tool for performing automatic building damage assessments on aerial imagery of disaster sites.
Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)
A simple way to calibrate your neural network.
Source code for Twitter's Recommendation Algorithm
Trax ā Deep Learning with Clear Code and Speed
PyTorch tutorials.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent