flowsmind Goto Github PK
Type: User
Location: Cambridge, New Zealand
flowsmind's Projects
ai-expert-roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2020
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
athena_docs
The documents repository for the idea that named Athena.
awesome-ai-best-papers
A curated list of famous CV/NLP/ML/AI best papers, inspired by Best Paper Awards in Computer Science (since 1996).
awesome-artificial-intelligence
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
awesome-rl
Reinforcement learning resources curated
best_ai_paper_2020
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
datadash
Visualize and graph data in the terminal
favia_docs
Store the documents of the Favia project.
maml
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
maml_rl
Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
midas
Go implementation of MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams
midas-1
Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
mstream
Fast Streaming Multi-Aspect Group Anomaly Detection
ntm-one-shot
One-shot Learning with Memory-Augmented Neural Networks
orbit
Bayesian forecasting with object-oriented design and probabilistic models under the hood.
pygame-learning-environment
PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
technical_survey
The memo of the technical survey.
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