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analysis-by-synthesis

Analysis by Synthesis — reimplemented

analysisbysynthesis

Adversarially Robust Neural Network on MNIST.

annotated-transformer

An annotated implementation of the Transformer paper.

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-industrial-anomaly-detection

Paper list and datasets for industrial image anomaly detection (defect detection). 工业异常检测(瑕疵检测)论文及数据集检索库。

chatgpt-spot-welding

Test the capability of chatgpt on spot welding

clock-reader

Reading time from the Analogue Clocks using CNN

cmc

[ECCV 2020] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis

cocoapi

Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3

conceptor-tscluster

A python library for Time Series Clustering by the use of Conceptor Network (a reservoir computing method).

cs61c

custom-context-menu

Code and test application for creating a custom context menu.

deep-svdd-pytorch

A PyTorch implementation of the Deep SVDD anomaly detection method

deepstream_python_apps

A project demonstrating use of Python for DeepStream sample apps given as a part of SDK (that are currently in C,C++).

detectron2

Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

etdataset

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

etsformer

PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

gan-anodetector

A python package of Anomaly Detection by using Generative Adversarial Networks

genetic-algorithms

Simple Genetic Algorithms written by Python

geneticalgorithmpython

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

geneticalgorithmswithpython

source code from the book Genetic Algorithms with Python by Clinton Sheppard

geneticsharp

GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs).

imbalanced-regression

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

lake

lemniscate.pytorch

Unsupervised Feature Learning via Non-parametric Instance Discrimination

matching_network

Repository for few-shot learning machine learning projects

matchingnetworks

This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset

matplotlib-tutorial

Matplotlib tutorial for beginner

nlp_study

Word2Vec Negative Sampling