TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
TranslatedDeep Learning Tutorial, excellent articles
12 Weeks, 24 Lessons, IoT for All!
FinRL®: Financial Reinforcement Learning. 🔥
:satellite: Simple and ready-to-use tutorials for TensorFlow
Your new Mentor for Data Science E-Learning.
Natural Language Processing Tutorial for Deep Learning Researchers
Learn ML engineering for free in 4 months! Register here 👇🏼
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
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.
TranslatedOpen source Deep Learning book, based on TensorFlow 2.0 framework.
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
Code release for NeRF (Neural Radiance Fields)
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
TensorFlow Tutorials with YouTube Videos
TensorFlow examples
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
A course in reinforcement learning in the wild
Simple tutorials using Google's TensorFlow Framework