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antialiased-cnns

Antialiasing cnns to improve stability and accuracy. In ICML 2019.

Auto-GPT

An experimental open-source attempt to make GPT-4 fully autonomous.

CAM-pytorch

An example code about model validation via. CAM(Class Activation Mapping)

causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

citra

A Nintendo 3DS Emulator

concept_exp

code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"

dash-sample-apps

Open-source demos hosted on Dash Gallery

datasets

CSV datasets used in Plotly API examples

deep-learning-notes

Experiments with Deep Learning

DEPARA

This repo provides source codes for reproduing the results of "DEPARA".

EDSR-PyTorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

jetson-inference

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

knowledge-distillation-pytorch

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

lsc-cnn

matplotlib_practice

some common matplotlib example

NCTU_DLSR_final_project

2018 Fall NCTU Deep Learning and System Realization Final Project Benchamark

PatchCore_anomaly_detection

Unofficial implementation of PatchCore anomaly detection

PlotNeuralNet

Latex code for making neural networks diagrams

PP-final

HDR with SIMD acceration

pytorch-AdaIN

Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

pytorch-OpCounter

Count the MACs / FLOPs of your PyTorch model.

pytorch_image_classification

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST

pytorch_train_inference_flow

some simple example about training & inference by pytorch

pytorch_trick

Some useful pytorch trick

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

retinanet-examples

Fast and accurate object detection with end-to-end GPU optimization

SPICE

Teacher-Assistant-Knowledge-Distillation

Using Teacher Assistants to Improve Knowledge Distillation

YOLOv3-model-pruning

在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）