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Name: Omid Bazgir
Type: User
Company: Texas Tech University
Bio: Senior AI scientist @Genentech
Twitter: omid_bazgir
Location: SOUTH SAN FRANCISCO, CA
Name: Omid Bazgir
Type: User
Company: Texas Tech University
Bio: Senior AI scientist @Genentech
Twitter: omid_bazgir
Location: SOUTH SAN FRANCISCO, CA
In this repository I keep my practices on Algorithm and Data structure, based on Coursera and LeetCode trainings and problems.
Fundamental of Algorithms
A graph-based functional API for building complex scikit-learn pipelines.
In this repository I am gonna practice Bayesian optimization from scratch for machine learning models' hyper-parameter search
Here I keep my practices and codes on bayesian statistics and bayesian learning. It is mainly for my own learning purpose, but I comment my code, so if somebody finds them useful, would be able to understand them.
Here I keep the codes that I write for my bioinformatics course.
CI_CD practices
I practice coding through hacker rank, and keeping my solutions here for my own sake.
Modeling COVID19 clinical data using REFINED approach.
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
The LLM Evaluation Framework
Financial agent + generative UI
In this repository I keep my codes on learning about GANs and generative models mostly. The GANs code are mostly from the Coursera course on GANs.
Graph Machine Learning Training
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task. Monitoring with TensorBoard. Other visualizations available.
# Bayesian Optimization In this example a bayesian framework is defined to tune hyperparameter of a CNN using hyperopt library developed https://github.com/hyperopt Bayesian optimization is a seuential model-based approach to solving problems. In particular, we prescribe a prior belief over the possible objective functions and then sequentially refine this model as data are observed via our updated beliefs-given data-on the likely ojective function we are optimizing. https://www.cs.ox.ac.uk/people/nando.defreitas/publications/BayesOptLoop.pdf This blog summarises bayesian optimization very thoroughly. https://medium.com/vantageai/bringing-back-the-time-spent-on-hyperparameter-tuning-with-bayesian-optimisation-2e21a3198afb The CNN is used to model fashion MNIST dataset.
In this repository the code that ensemble different REFINED approaches is provided.
Kernel Mean Matching implementation
llama3 implementation one matrix multiplication at a time
LLM101n: Let's build a Storyteller
LLM and GPT from scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Machine Learning Open Source University
Github repository of my learnings on MLOps starting with #duke-mlops-python
In this repository I keep some of my MPI coding to follow them later on and also share them with the python community. I do deep learning on drug sensitivity prediction, so my main purpose is making all the DL codes applied on different genes/drugs/cell lines in parallel.
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.