Easy to use Python library for creating 2D arcade games.
- python3
- python
- arcade-framework
- arcade-api
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Easy to use Python library for creating 2D arcade games.
Python Stream Processing
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
Corridor Key 2.0 for all your green and blue screen needs
Elyra extends JupyterLab with an AI centric approach.
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Genetic Programming in Python, with a scikit-learn inspired API
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
A curated list of data mining papers about fraud detection.
Curated reverse-engineering tools and learning resources for binaries, apps, firmware, formats, and protocols.
Clean PyTorch implementations of imitation and reward learning algorithms
Interpretability and explainability of data and machine learning models
Programming exercises, code katas and puzzles for your job interview training - or just for fun.
BirdNET analyzer for scientific audio data processing.
Python audio and music signal processing library
Deep probabilistic analysis of single-cell and spatial omics data
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
An offline deep reinforcement learning library
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
Hyperparameter Experiments with TensorFlow and Keras