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Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
๐ฆ ๐๐ฒ๐ฎ๐ฟ๐ป about ๐๐๐ ๐, ๐๐๐ ๐ข๐ฝ๐, and ๐๐ฒ๐ฐ๐๐ผ๐ฟ ๐๐๐ for free by designing, training, and deploying a real-time financial advisor LLM system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + ๐ท๐ช๐ฅ๐ฆ๐ฐ & ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด
This is applications to marge PDF files using Python.
Deep Learning and Computer Vision Applications using Streamlit
Approaching (Almost) Any Machine Learning Problem
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Data science interview questions and answers
Distributed System in Docker with Apache Kafka and Spark for big data streaming and visualisation (NodeJS, TypeScript, React, NestJS, Java)
This is Andrew NG Coursera Handwritten Notes.
Code examples for the book, Creating GUI Application with wxPython
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"
A compiled list of kaggle competitions and their winning solutions for classification problems.
Implementation of the coding interview questions for the "Leetcode in python 50 Algorithms Coding Interview Questions" Course on udemy
A Unified Toolkit for Deep Learning Based Document Image Analysis
People detection and optional tracking with Tensorflow backend.
A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.
UB-Mannheim / tesseract
Forked from tesseract-ocr/tesseractTesseract Open Source OCR Engine (main repository)
Awesome GAN for Medical Imaging