afcarl Goto Github PK
Name: Andrew Carl
Type: User
Bio: "GitHub AI Brain-of-Brains": https://2strikehitter.com/AI_BrainofBrains.html
Location: Las Vegas, Nevada, USA
Blog: https://afcarl.github.io
Andrew Carl's Projects
dynamic-network-surgery
Caffe implementation for dynamic network surgery.
dynamic-optical-flow
Robust optical flow estimation in dynamic weathers (e.g. rain, snow, sleet, ...)
dynamic-stochastic-block-model
MATLAB toolbox for fitting discrete-time dynamic stochastic block models
dynamic-tensorflow-tutorial
Tensorflow tutorial of building different dynamic recurrent neural network
dynamic_factor_models
dynamic_neural_manifold
dynamic_neural_text_model
A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse, Sosuke Kobayashi, Naoaki Okazaki, Kentaro Inui, IJCNLP 2017
dynamic_routing_between_capsules
Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017
dynamicmemorynets
dynamicmemorynetwork
dynamicpoissonfactorization
Dynamic version of Poisson Factorization (dPF). dPF captures the changing interest of users and the evolution of items over time according to user-item ratings.
dynamics
dynamics--mbchang
A Compositional Object-Based Approach to Learning Physical Dynamics
dynarray
Dynamic Numpy arrays
dynet
DyNet: The Dynamic Neural Network Toolkit
dynet-benchmark
Benchmarks for DyNet
dynet_study_docker
dynet_tutorial_examples
Tutorial on "Practical Neural Networks for NLP: From Theory to Code" at EMNLP 2016
dztools
Tools for trading with the Zorro platform and Dukascopy broker.
e-drl
Exploration Strategies for Deep Reinforcement Learning
e2c
TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
e2e-coref
End-to-end Neural Coreference Resolution
e2e-ie-release
Code accompanying End-to-End Information Extraction without Token-Level Supervision
e2e-model-learning
Task-based end-to-end model learning
ea-tester
:computer: Headless Forex backtesting for MT4 platform on Linux/Unix.
ea-tester-docker
:computer: Docker containers for EA-Tester project.
ea31337
EA31337 Lite, Advanced and Rider - multi-strategy advanced trading robot for MT4/MT5 platform
ea31337-advanced-optimization-tests
:chart_with_upwards_trend: Optimization tests for EA31337 Advanced trading robot.
ea31337-advanced-sets
:chart_with_upwards_trend: Set files for EA31337 Advanced trading robot.
ea31337-classes
:page_facing_up: EA31337 framework (MQL library for writing EAs)
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