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interpretablemachinelearning2018s

Lecture notes for 'Interpretable Machine Learning' at WUW and UW. Summer semester 2018/2019

ipiu_igrss_2018

ir-net

This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.

ishell

Daily Shell scripts

isl-python

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

istats

Ruby gem for your mac stats

itk

Insight Toolkit (ITK) -- Official Repository

jacinto-ai-devkit

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

jekyll-spaceship

🚀 A Jekyll plugin to provide powerful supports for table, mathjax, plantuml, mermaid, emoji, video, audio, youtube, vimeo, dailymotion, soundcloud, spotify, etc.

jetson-containers

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

jetson-packages-family

The ultimate software installation guide for Nvidia Jetson Nano/Xavier Dev Kit

joyful-pandas

Pandas中文教程

json-tutorial

从零开始的 JSON 库教程

juliabasics

The open source version of book `Julia Programming Basics`

kaggle_diabetic_ram

Extended Retinopathy Detection Challenge with the Regression Activation Map for visual explaination

kd_lib

A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.

keras-image-classifer-framework

a general image classifer framework written by Keras

kgraph

A library for k-nearest neighbor search

knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

knowledge-distillation-pytorch-1

Knowledge Distillation Algorithms implemented with PyTorch

kse

Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression

l-dnq

Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data

l-obs

Codes for Layer-wise Optimal Brain Surgeon

label-refinery

Label Refinery: Improving ImageNet Classification through Label Progression

labelimg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

larq

An Open-Source Library for Training Binarized Neural Networks

latex-graph-paper

Make your own quadrille, graph, hex, etc paper! Uses the pgf/TikZ package for LaTeX, which should be part of any modern TeX installation.

lda_study