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abstract-reasoning-matrices

Progressive matrices dataset, as described in: Measuring abstract reasoning in neural networks (Barrett*, Hill*, Santoro*, Morcos, Lillicrap), ICML2018

acm361

networking

action-based-representation-learning

aima-java

Java implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

albumentations-demo

The service for the demonstration of transforms in Albumentations library

arc

The Abstraction and Reasoning Corpus

behavioral_cloning

Deep learning to train an autonomous vehicle to mimic human driving

coiltraine

Training framework for conditional imitation learning

conceptnet-numberbatch

deep-forest

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

dgbdt

diff-sat

SAT and Answer Set solver for probability distribution-aware model sampling and multi-models optimization using Differentiable Satisfiability. :::::: Use cases: Probabilistic SAT solving, Probabilistic Answer Set Programming (Probabilistic ASP), ... ::::::

donkey-vis

Donkeycar neural network model visualization

donkeycar

Open source hardware and software platform to build a small scale self driving car.

download

for sharing files

dqn-dense-traffic

Decision Making in Dense Traffic using Deep Q-Learning

fedma

Code for Federated Learning with Matched Averaging, ICLR 2020.

fedtree

A tree-based federated learning system

gym_longicontrol

A new Reinforcement Learning Environment

highway-env

A minimalist environment for decision-making in autonomous driving

iled

Incremental Learning Event Definitions

incremental_decision_tree

Reimplementation of VFDT and EFDT. Our codebase is simple, concise, easy to reproduce with strong performances.

incremental_decision_tree-cart-random_forest

incremental CART decision tree, based on the hoeffding tree i.e. very fast decision tree (VFDT), which is proposed in this paper "Mining High-Speed Data Streams" by Domingos & Hulten (2000). And a newly extended model "Extremely Fast Decision Tree" (EFDT) by Manapragada, Webb & Salehi (2018). Added new implementation of Random Forest

jetson

Helmut Hoffer von Ankershoffen experimenting with arm64 based NVIDIA Jetson (Nano and AGX Xavier) edge devices running Kubernetes (K8s) for machine learning (ML) including Jupyter Notebooks, TensorFlow Training and TensorFlow Serving using CUDA for smart IoT.

jetson-containers

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

jetson-nano

Script, tools, links and other resources for using Nvidia Jetson Nano boards.

jetson_ml_container_collection

flask with various ML training, model merge, transfer learning functions inside container

jetsoncluster

Repo for instructions on setting up a micro compute cluster with the NVidia Jetson Nano boards and potentially Ansible playbooks for configuration and setup.

keras-swa

Simple stochastic weight averaging callback for Keras

knowledge_graph_reasoning_papers

Must-read papers on knowledge graph reasoning