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52-technologies-in-2016

Let's learn a new technology every week. A new technology blog every Sunday in 2016.

als_marker_detection

data-science-wg

SF Brigade's Data Science Working Group.

decompose-cnn

CP and Tucker decomposition for Convolutional Neural Networks

dnn-compression-paper-essence

Hot papers on DNN compression (a-la awesome-dnn-compression)

mmdetection

OpenVINO Training Extensions Object Detection

mpl_sanity

default matplotlib settings that make sense

nncf

Neural Network Compression Framework for PyTorch*

open_model_zoo

Pre-trained Deep Learning models and samples (high quality and extremely fast)

practical-python

Practical Python Programming (course by @dabeaz)

pyhpc-benchmarks

A suite of benchmarks to test the sequential CPU and GPU performance of most popular high-performance libraries for Python.

pytextpreprocess

Preprocess text for NLP (tokenizing, lowercasing, stemming, sentence splitting, etc.)

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-transformers

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

pyts

A Python package for time series classification

rbnn

Pytorch implementation of our NeurIPS 2020 -- Rotated Binary Neural Network

sktime

A unified toolbox for machine learning with time series

sktime-dl

sktime companion package for deep learning based on TensorFlow

sparse-matrix-compression

spike_data_generation

Generate spiking activity data from model simulations

spikebench

spikebench is an open spike train time-series classification benchmark

spiketrainn

Lightweight Python library for spike train distance calculation

ternausnet

UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset

umap_correlation_test

Stability test of UMAP and t-SNE against correlated features in input data

vanyalzr.github.io

Ivan's homepage

vision

Datasets, Transforms and Models specific to Computer Vision

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite