Chief Data Scientist; Author of "Deep Learning Illustrated"; SuperDataScience Host
ML-foundations. Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
4.8kDLTFpT. Deep Learning with TensorFlow, Keras, and PyTorch
660NLP-with-LLMs. Natural Language Processing with Large Language Models
114jonkrohn. Personal description
67tf2. TensorFlow 2.x Jupyter Notebooks
46TensorFlow-LiveLessons. "Deep Learning with TensorFlow" LiveLessons
32pytorch. Deep Learning in PyTorch Notebooks
31yt-channels-DS-AI-ML-CS. A comprehensive list of YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.
20study-group. Deep Learning Study Group
7docker-stacks. Opinionated stacks of ready-to-run Jupyter applications in Docker.
7keras-attention. Visualizing RNNs using the attention mechanism
6SLM-Lab. An experimentation framework for Reinforcement Learning using Unity, OpenAI Gym, and PyTorch.
5