Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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.

A collection of research materials on explainable AI/ML

A game theoretic approach to explain the output of any machine learning model.

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

Papers from the computer science community to read and discuss.

100 Days of ML Coding

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Lime: Explaining the predictions of any machine learning classifier

A curated list of awesome Machine Learning frameworks, libraries and software.

Deep Learning and deep reinforcement learning research papers and some codes

A curated list of awesome Deep Learning tutorials, projects and communities.

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Machine Learning Specialization certificate from Coursera

Docker Introduction and basics

Image augmentation for machine learning experiments.

Explainable AI with Python, published by Packt

Under the hood working of transformers, fine-tuning GPT-3 models, DeBERTa, vision models, and the start of Metaverse, using a variety of NLP platforms: Hugging Face, OpenAI API, Trax, and AllenNLP

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

The code from the Machine Learning Bookcamp book and a free course based on the book

The repository is dedicated towards the implementation of Computer Vision.

I am sharing my Journey of 300DaysOfData in Machine Learning and Deep Learning.

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.