penningavery

penningavery's starred repositories

stattests

Source code to reproduce experiments from the article Practitioner’s Guide to Statistical Tests

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xtensor

C++ tensors with broadcasting and lazy computing

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MLJ.jl

A Julia machine learning framework

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This is a cross-platform, CUDA-based C++ library for general-purpose, unconstrained nonlinear optimization on the GPU. It implements the L-BFGS (“Limited-memory Broyden-Fletcher-Goldfarb-Shanno“) method, a popular Quasi-Newton variant with a low memory footprint.

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jupyter-dash

OBSOLETE - Dash v2.11+ has Jupyter support built in!

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AutoML_Alex

State-of-the art Automated Machine Learning python library for Tabular Data

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TResNet

Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)

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AutoML-Benchmark

A Performance Benchmark of Different AutoML Frameworks

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active_learning_coreset

Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach

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fsm-oracle

Finite state machines as graphs

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CenterNet

Object detection, 3D detection, and pose estimation using center point detection:

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proxy-nca

PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies`.

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pytorch-optimizer

torch-optimizer -- collection of optimizers for Pytorch

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efficientdet-pytorch

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

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torch-toolbox

🛠 Toolbox to extend PyTorch functionalities

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3d-photo-inpainting

[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting

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cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

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covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

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covid19_scenarios

Models of COVID-19 outbreak trajectories and hospital demand

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few-shot-object-detection

Implementations of few-shot object detection benchmarks

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softmax-splatting

an implementation of softmax splatting for differentiable forward warping using PyTorch

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augmix

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

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pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

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