Mark Peng's repositories

kaggle_google_quest_qa_labeling

30th place solution in Google QUEST Q&A Labeling competition

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industrial_iot_schema

Specification for Exosite's Industrial IoT device interfaces and schema

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MSDS696-Masters-Final-Project

Earthquake Prediction Challenge with LightGBM and XGBoost

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amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

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boruta_py

Python implementations of the Boruta all-relevant feature selection method.

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classification_models

Pretrained on ImageNet classification models for Keras

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ctrNet-tool

This's the tool for CTR, including FM, FFM, NFFM and so on.

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darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

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deep-learning-benchmark

Deep Learning Benchmark for comparing the performance of DL frameworks, GPUs, and single vs half precision

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deepar

Tensorflow implementation of Amazon DeepAR

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deepo

A series of Docker images (and their generator) that allows you to quickly set up your deep learning research environment.

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DME

Dynamic Meta-Embeddings for Improved Sentence Representations

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docker-python

Kaggle Python docker image

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efficientdet-pytorch

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

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getting-started-solution-template

This is the documentation & example for Murano solution templates.

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Humpback-Whale-Identification-1st-

https://www.kaggle.com/c/humpback-whale-identification

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kaggle_human_protein_baseline

Human Protein Atlas Image Classification baseline:0.456

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Moses

Utility library for functional programming in Lua

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nnratio

A nearest neighbor density ratio estimator with model selection, written in Python 2. It uses numpy and scikit-learn.

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node-storage

File based storage for node.js

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pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

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pytorch-saltnet

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

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rrcf

🌲 Implementation of the Robust Random Cut Forest Algorithm for anomaly detection on streams

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segmentation_models

Segmentation models with pretrained backbones. Keras.

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SGAN

SGAN: An Alternative Training of Generative Adversarial Networks

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SimRLFab

Simulation and reinforcement learning framework for production planning and control of complex job shop manufacturing systems

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SincNet

SincNet is a neural architecture for efficiently processing raw audio samples.

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transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

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