Andrew Manser (ajmanser)

ajmanser

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Location:Mountain View, CA

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Andrew Manser's starred repositories

spacetimeformer

Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."

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PyTorch-Multi-Style-Transfer

Neural Style and MSG-Net

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fast-style-transfer

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

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trax

Trax — Deep Learning with Clear Code and Speed

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Laurae

Advanced High Performance Data Science Toolbox for R by Laurae

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shap

A game theoretic approach to explain the output of any machine learning model.

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ATMSeer

Visual Exploration of Automated Machine Learning with ATMSeer

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recommenders

Best Practices on Recommendation Systems

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autokeras

AutoML library for deep learning

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finance_ml

Advances in Financial Machine Learning

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Adv_Fin_ML

Advances in Financial Machine Learning by Marcos Lopez De Prado

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adv-financial-ml-marcos-exercises

Exercises of the book: Advances in Financial Machine Learning by Marcos Lopez de Prado

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torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

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Neural-Ordinary-Differential-Equations

Sample implementation of Neural Ordinary Differential Equations

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financial-data-structures

Depricated repo. Please refer to mlfinlab

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Adv_Fin_ML_Exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

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xlearn

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

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StackNet

StackNet is a computational, scalable and analytical Meta modelling framework

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instacart-basket-prediction

Kaggle | Instacart Market Basket Analysis🥕🥉

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DeepNLP-models-Pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

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Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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pigar

:coffee: A tool to generate requirements.txt for Python project, and more than that. (IT IS NOT A PACKAGE MANAGEMENT TOOL)

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text

Models, data loaders and abstractions for language processing, powered by PyTorch

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anago

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

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DeepRLHacks

Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)

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tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

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snorkel

A system for quickly generating training data with weak supervision

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ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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SELU_Keras_Tutorial

Keras based Tutorials and implementations for "Self-normalizing networks" - new activation function SELU

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