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advanced-deep-learning-with-python

Advanced Deep Learning with Python by Packt Publishing

advanced-deep-learning-with-python-book

Advanced Deep Learning with Python

ai-kickstart-mlops

ai_chatbot_python

AI ChatBot using Python Tensorflow and Natural Language Processing (NLP) along side TFLearn

ai_projects

ayushtalreja

Config files for my GitHub profile.

azureml-examples

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

beyond-jupyter-spotify-popularity

btb_spark

Beyond the basics - Learn Spark

code_snippets

cookbook

Open-source AI cookbook

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks;

dataanalysiswithpythonandpyspark

Code repository for the "PySpark in Action" book

datavis_bestpractices

Notebook showcasting best practices of explanatory Data Visualization. Based on content developed for SPICED Academy.

devops-roadmap

DevOps Roadmap for 2024. with learning resources

draggan

Official Code for DragGAN (SIGGRAPH 2023)

duckietown-lx

Duckietown Learning Experiences

fastbook

The fastai book, published as Jupyter Notebooks

generative_deep_learning_2nd_edition

The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

getting-started-with-google-bert

Getting Started with Google BERT, published by Packt

hands-on-exploratory-data-analysis-with-python

Hands-on Exploratory Data Analysis with Python, published by Packt

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

jetracer

An autonomous AI racecar using NVIDIA Jetson Nano

kickstart_forests

Applied AI Career Kickstart Program's Forest Repository

lightspeedgpt

Use GPT4 and GPT3.5 on inputs of unlimited size. Uses multithreading to process multiple chunks in parallel. Useful for tasks like Named Entity Recognition, information extraction on large books, datasets, etc.

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

manning_tf2_in_action

The official code repository for "TensorFlow in Action" by Manning.

mastering-transformers

Mastering Transformers, published by Packt

ml_testing

Workshop materials for the 01/2024 training on testing ML software