Mabu Manaileng's repositories
lightning-flash
Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning.
MSMARCO-Passage-Ranking
MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension, question answering, and passage ranking. A variant of this task will be the part of TREC and AFIRM 2019. For Updates about TREC 2019 please follow This Repository Passage Reranking task Task Given a query q and a the 1000 most relevant passages P = p1, p2, p3,... p1000, as retrieved by BM25 a succeful system is expected to rerank the most relevant passage as high as possible. For this task not all 1000 relevant items have a human labeled relevant passage. Evaluation will be done using MRR
scikit-learn
scikit-learn: machine learning in Python
audio-sentiment-classifier
Using transformers to classify sentiment from audio data
aws-doc-sdk-examples
Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.rst file below.
covid-19-api
COVID-19 global data (from JHU CSSE for now) as-a-service
glide-text2im
GLIDE: a diffusion-based text-conditional image synthesis model
gpt-posture-detection
GPT Posture Detection
image-crop-analysis
Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency
Intro2ML-and-DS
Quick starts for machine learning and data science toolsets
jigsaw-multilingual-toxic-comment-classification
Work of Kaggle's competition ‘Multilingual Toxicity Comment Classification’. Usage of models and model derivatives like BERT, Roberta, XLM and combining them with varying proportions in an ensemble to get the final solution.
MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
neural_prophet
NeuralProphet: A simple forecasting package
openvino_notebooks
📚 A collection of Jupyter notebooks for learning and experimenting with OpenVINO 👓
torchdistill
PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.
Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
XTREME-S-Dataset-Explorer-for-ZA
A Streamlit App for Exploring the XTREME-S Dataset ZA Languages