Flax is a neural network library for JAX that is designed for flexibility.
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A course in reinforcement learning in the wild
- reinforcement-learning
- course-materials
- deep-learning
- deep-reinforcement-learning
A scikit-learn compatible neural network library that wraps PyTorch
Simple tutorials using Google's TensorFlow Framework
From the basics to slightly more interesting applications of Tensorflow
Create delightful software with Jupyter Notebooks
- jupyter-notebooks
- python
- literate-programming
- fastai
links to conference publications in graph-based deep learning
- graph-neural-networks
- graph-convolutional-networks
- graph
- deep-learning
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
Performance analysis of predictive (alpha) stock factors
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
- tensorflow
- machine-learning
- regression
- convolutional-neural-networks
The Hunting ELK
- hunting
- elasticsearch
- kibana
- logstash
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
- webgpu
- deep-learning
- stable-diffusion
- web-assembly
Lectures on scientific computing with python, as IPython notebooks.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
- machine-learning
- deep-learning
- lstm
- human-activity-recognition
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Open-source demos hosted on Dash Gallery
- plotly-dash
- dash
- plotly
Quantitative analysis, strategies and backtests
- quantitative-finance
- quantitative-trading
- portfolio-management
- risk-management
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
- templates
- opensource
- naas
- notebooks-templates
A library for debugging/inspecting machine learning classifiers and explaining their predictions
TranslatedCAPTCHA recognition
- captcha-breaking
- keras-tutorials
- deep-learning
- keras
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
- data-science
- python
- dag
- data-engineering
Algorithms for outlier, adversarial and drift detection
- anomaly
- outlier
- concept-drift
- detection
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.