Francis Tembo (FrancisTembo)

FrancisTembo

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Location:Potchefstroom , South Africa

Twitter:@anesu_tembo

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Francis Tembo's starred repositories

zenml

ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

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deep-learning-wizard

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.

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the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

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build-your-own-x

Master programming by recreating your favorite technologies from scratch.

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ecg-classification

ECG Arrhythmia classification using CNN

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DeFCN

End-to-End Object Detection with Fully Convolutional Network

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Hands-On-Machine-Learning-with-OpenCV-4

Hands-On Machine Learning with OpenCV 4, Published by Packt

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pySpeechRev

This python code performs an efficient speech reverberation starting from a dataset of close-talking speech signals and a collection of acoustic impulse responses.

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code-with-engineering-playbook

This is the playbook for "code-with" customer or partner engagements

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NYU-DLSP20

NYU Deep Learning Spring 2020

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serving-pytorch-models

Serving PyTorch models with TorchServe :fire:

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modern_practical_nlp

This course covers how you can use NLP to do stuff.

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DL-ECG-Review

A Review of Deep Learning Methods on ECG Data

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Objectron

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

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MedMNIST

[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

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PyTorch

Deep Learning Zero to All - Pytorch

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PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

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SpeakerDiarization_RNN_CNN_LSTM

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

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deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

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PySimpleGUI

Python GUIs for Humans! PySimpleGUI is the top-rated Python application development environment. Launched in 2018 and actively developed, maintained, and supported in 2024. Transforms tkinter, Qt, WxPython, and Remi into a simple, intuitive, and fun experience for both hobbyists and expert users.

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matplotlib

matplotlib: plotting with Python

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30-Days-Of-JavaScript

30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days. This challenge may take more than 100 days, please just follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

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qlib

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

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pyannote-core

Advanced data structures for handling temporal segments with attached labels.

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speaker-id

This repository contains audio samples and supplementary materials accompanying publications by the "Speaker, Voice and Language" team at Google.

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PaddleOCR

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

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AudioSignalProcessingForML

Code and slides of my YouTube series called "Audio Signal Proessing for Machine Learning"

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Bringing-Old-Photos-Back-to-Life

Bringing Old Photo Back to Life (CVPR 2020 oral)

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ThinkDSP

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

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coding-interview-university

A complete computer science study plan to become a software engineer.

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