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bad-pug-brewing

A fun website I built for a fictional company to practice using Bootstrap 5.

batch_async_http

A python package for batching your async http requests with a decorator!

computer-vision-streamlit

An open-source application for computer vision on both image and video data.

cover-letter-website

A cover letter website created while completing the 2022 Web Development Bootcamp.

cv-model-pyqai

Model API for testing pyqai's product.

dataquest-projects

Projects done while Completing Dataquest's Data Scientist path.

deeplearning-ai-short-courses

Notebooks from short courses taken through DeepLearning.ai

huggingface-courses

jh3y

kaggle

Kaggle competitions I have completed.

kaggle-courses

These are all of the practice problems I completed while traversing through the education resources offered on Kaggle.

learn-data-structures-and-algorithms-with-python

Code Academy course on Data Structures and Algorithms implemented in Python

learn-prompting

The most comprehensive prompt engineering course available.

linalg4datascience

Code that accompanies the book "Linear Algebra for Data Science"

multi-task-nlp-dashboard

Streamlit application built using 100% open-source resources.

nlp-model-pyqai

Model API for testing pyqai's product.

nlp-with-transformers

Jupyter notebooks for the Natural Language Processing with Transformers book

onnx_transformers

Accelerated NLP pipelines for fast inference on CPU. Built with Transformers and ONNX runtime.

onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

practical-linear-algebra-for-data-science

My implementation of the concepts, examples, and coding exercises in the book "Practical Linear Algebra for Data Science" written by Mike X Cohen.

python-for-programmers-educative

Coursework completed while working through educative's Python for Programmers learning path.

pytorch-quickstart

Pytorch introductory code examples.

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

scikit-learn-basics

These are practice problems that come from Machine Learning with scikit-learn Quick Start Guide by Kevin Jolly.

statistics-with-python-michigan-university

A 3 course series offered by Michigan University which covers statistics and applying it through code.

tensor-puzzles

Solve puzzles. Improve your pytorch.

tensorflow-in-practice

transformer-architecture

Building a Transformer model from scratch. (Guided by Natural Language Processing with Transformers O'Reilly book)

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

triton_transformers

Deploy optimized transformer based models on Nvidia Triton server