Repository Index

Flax is a neural network library for JAX that is designed for flexibility.

• jax

A scikit-learn compatible neural network library that wraps PyTorch

• scikit-learn
• pytorch
• machine-learning
• huggingface

Simple tutorials using Google's TensorFlow Framework

links to conference publications in graph-based deep learning

• graph-neural-networks
• graph-convolutional-networks
• graph
• deep-learning

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

• tensorflow
• machine-learning
• regression
• convolutional-neural-networks

🛠 All-in-one web-based IDE specialized for machine learning and data science.

• machine-learning
• deep-learning
• data-science
• docker

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

[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

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

TensorFlow Tutorials

• tensorflow-tutorials
• convolutional-neural-networks
• recurrent-neural-networks

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

• machine-learning
• python
• statistics
• scikit-learn

Implementing a Neural Network from Scratch

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

• deep-learning
• depth-prediction
• visual-odometry
• self-supervised-learning

An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.

WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.

• rag
• ai-agents
• alignment
• debugging

Synthetic data generators for tabular and time-series data

• gan-architectures
• gan
• deep-learning
• synthetic-data

Koç University deep learning framework.

• knet
• deep-learning
• julia
• machine-learning

Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)

• ocr
• text-detection

Complex code hides connections, workflows, and business risks.Unvibe complex code. Trace business workflows.

• business-logic
• code-analysis
• code-understanding
• codebase-analysis

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

• seq2seq
• tensorflow
• tensorflow-tutorials
• python

Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano

Precision Medicine Knowledge Graph (PrimeKG)

• knowledge-graph
• precision-medicine
• therapeutics
• bioinformatics

A knowledge graph and a set of tools for drug repurposing

• drug-repurposing
• knowledge-graph
• graph-neural-networks
• knowledge-graph-embeddings

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.