yousaf1951's Stars
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
jbhuang0604/awesome-computer-vision
A curated list of awesome computer vision resources
NielsRogge/Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
applicaai/kleister-nda
Machine-Learning-Tokyo/AI_Curriculum
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
JohnSnowLabs/visual-nlp-workshop
Public runnable examples of using John Snow Labs' OCR for Apache Spark.
tesseract-ocr/tesseract
Tesseract Open Source OCR Engine (main repository)
opencv/opencv
Open Source Computer Vision Library
tensorflow/examples
TensorFlow examples
moelgendy/deep_learning_for_vision_systems
This repository accompanies the book "Deep Learning for Vision Systems".
omar-florez/scratch_mlp
Explaining the Math of how neural networks learn
Nikolai10/mobile-ocr
Camera-based Document Analysis
dabeaz/python-cookbook
Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.
mikesparr/ai-demo-web
Simple React-based web interface for AI demo project
PacktPublishing/Hands-On-Data-Science-and-Python-Machine-Learning
Hands-On Data Science and Python Machine Learning, published by Packt
jleetutorial/python-spark-streaming
TrainingByPackt/Data-Science-Projects-with-Python
A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn
yorek/azure-sql-db-samples
Samples and Best pratices to use Azure SQL DB to build modern, mission critical application, with ease and confidence
reversegremlin/pythagoras
python playground
brohrer/brohrer.github.io
Public web page for brohrer
trallard/airflow-tutorial
🐍💨 Airflow tutorial for PyCon 2019
neubig/nlptutorial
A Tutorial about Programming for Natural Language Processing
kuleshov/cornell-cs5785-2020-applied-ml
Teaching materials for the applied machine learning course at Cornell Tech (online edition)
microsoft/c9-python-getting-started
Sample code for Channel 9 Python for Beginners course
phonghuule/aws-innovate-ai-ml
revodavid/PracticalAI
AIF01 Practical AI for the Working Software Engineer
story645/mpl_tutorial
Scipy 2019 Tutorial
totalgood/nlpia
Examples and libraries for "Natural Language Processing in Action" book
parrt/fundamentals-of-deep-learning
Course notes and notebooks to teach the fundamentals of how deep learning works; uses PyTorch.
rasbt/python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository