Derek Kweku's repositories
academic-kickstart
Easily create a beautiful website using Academic and Hugo
amazon-sagemaker-mlops-workshop
Machine Learning Ops Workshop with SageMaker: lab guides and materials.
awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
Brain-Tumor-Detection
Brain Tumor Detection Using Convolutional Neural Networks.
browsecloud
A web app to create and browse text visualizations for automated customer listening.
business-machine-learning
A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations.
dash
Analytical Web Apps for Python. No JavaScript Required.
Deep-Learning-Explained
This repository contains the lab files for Microsoft course DAT236x: Deep Learning Explained
dive-into-machine-learning
Dive into Machine Learning with Python Jupyter notebook and scikit-learn!
EightyFivePercentRule
Code to replicate the figures from "The Eighty Five Percent Rule for Optimal Learning"
emotion-recognition-using-speech
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
FSA-Net
[CVPR19] FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image
Generate-any-sport-highlights-using-python
Just pure python, No ML or DL
GTL_AI_COHORT_1
A repository for teams technical presentations for the National AI Training. This is for cohort 1 at GTL,Accra.
Kannada_MNIST
The main repository for the Kannada MNIST dataset
machine-learning-for-trading
Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading
Megatron-LM
Ongoing research training transformer language models at scale, including: BERT
project-based-learning
Curated list of project-based tutorials
pytorch-transformers
👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)
Research-Methods-for-Data-Science-with-Python
Research Methods for Data Science with Python
robustness
A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
stat479-machine-learning-fs19
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Text_Classification
Text Classification Algorithms: A Survey
visualization-curriculum
A data visualization curriculum of interactive notebooks.