# PyContrast

**Repository Path**: dabaier/PyContrast

## Basic Information

- **Project Name**: PyContrast
- **Description**: PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-10-12
- **Last Updated**: 2021-11-02

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# PyContrast

This repo lists recent contrastive learning **papers**, and includes **code** for many of them.

## Paper List
Find awesome contrastive learning [paper](AWESOME_CONTRASTIVE_LEARNING.md).

## PyTorch Code
For the reference implementation of SoTA methods, (e.g., InstDis, CMC, MoCo, ...), see [pycontrast](pycontrast).

## Pre-trained Models
A set of ImageNet unsupervised pre-training models are provided. Find them in [model zoo](pycontrast/docs/MODEL_ZOO.md).

## Object Detection
Unsupervised pre-training models outperform supervised pre-training models on PASCAL VOC and COCO. Find in [detection](pycontrast/detection).