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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
The fastai book, published as Jupyter Notebooks
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Data and code behind the articles and graphics at FiveThirtyEight
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
Kubernetes community content
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Deep Learning Specialization by Andrew Ng on Coursera.
Visualizations for machine learning datasets
Flax is a neural network library for JAX that is designed for flexibility.
Collection of notebooks about quantitative finance, with interactive python code.
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
A course in reinforcement learning in the wild
The Udacity open source self-driving car project
Portfolio and risk analytics in Python
From the basics to slightly more interesting applications of Tensorflow
Efficient Image Captioning code in Torch, runs on GPU
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Plain python implementations of basic machine learning algorithms
Performance analysis of predictive (alpha) stock factors
Microsoft Quantum Development Kit Samples
Python-based tools for document analysis and OCR
Simple chat program that communicates using inaudible sounds
Quantitative research and educational materials
A collection of IPython notebooks covering various topics.
Python libraries for Google Colaboratory
subpixel: A subpixel convnet for super resolution with Tensorflow