Tshepo Moagi's Projects
This repository is to host template for calculating ROI on Artificial Intelligence projects
TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.
An experimental open-source attempt to make GPT-4 fully autonomous.
A curated list of community detection research papers with implementations.
collection of fastai resources: blog posts, twitter threads etc.
Data Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.
A platform for serving and deploying machine learning models
A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations.
This is my assignment submission
Using Cape Town's public data this notebook is the exploration of the homeless people in Cape Town, their movement, reasons for their situation, daily activities and also means of survival.
Code for a pipeline created by chatgpt
Consistent hashing based DNS
This is a collection of the data and notebooks I used in my Youtube tutorials series, Data Analysis
This is an open source library of data science, data analytics and data engineering material.
Data Science, Machine Learning, Big Data and Business Analytics Career Repository
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Research Poster for Deep Learning Indaba 2018
Udacity nano degree submission
Contains files related to content and project of DSND Term 2
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
A curated list of applied machine learning and data science notebooks and libraries across different industries.
Dimensionality reduction in very large datasets using Siamese Networks
Jupyter metapackage for installation, docs and chat
Code for Keras implementation Meet Up. Explore all types of supervised Learning use cases. Binary, Multiclass, Regression, Image Classification and using pre trained models, all in one notebook.
Hyperparameter tuning for humans
Code for: "And the bit goes down: Revisiting the quantization of neural networks"
Let's put Africa on the Machine Translation Map!