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openselfsup

Self-Supervised Learning Toolbox and Benchmark

owod

(CVPR 2021 Oral) Open World Object Detection

panel

A high-level app and dashboarding solution for Python

pc-darts

PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search

pc-darts-anti-spoofing

This repository includes the code to reproduce our paper Partially-Connected Differentiable Architecture Search for Deepfake and Spoofing Detection" (https://arxiv.org/abs/2104.03123) to appear in INTERSPEECH '21

pcl

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

pdarts

Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"

pgcl

The code of “Prototypical Graph Contrastive Learning”. [TNNLS 2022]

plotneuralnet

Latex code for making neural networks diagrams

pnls

Matlab implementation of our TMM 2020 paper "Pixel-level Non-local Image Smoothing with Objective Evaluation"

polyphonic-sound-event-detection-with-weak-labeling-dataset-given-

prml

PRML algorithms implemented in Python

psla

Code for the TASLP paper "PSLA: Improving Audio Tagging With Pretraining, Sampling, Labeling, and Aggregation".

pt.darts

PyTorch Implementation of DARTS: Differentiable Architecture Search

pycil

PyCIL: A Python Toolbox for Class-Incremental Learning

pysoundtouch

Python Wrapper for the SoundTouch Library

pytorch-deformable-convolution-v2

Don't feel pain to use Deformable Convolution

pytorch-kaldi

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

pytorch-maml

A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

pytorch-opcounter

Count the MACs / FLOPs of your PyTorch model.

pytorch-original-transformer

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

pytorch-receptive-field

Compute CNN receptive field size in pytorch in one line

pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras

pytorchwavelets

PyTorch implementation of the wavelet analysis from Torrence & Compo (1998)

receptive_field

Compute receptive fields of your favorite convnets

receptivefield

Gradient based receptive field estimation for Convolutional Neural Networks

recorder

html5 js 录音 mp3 wav ogg webm amr 格式，支持pc和Android、ios部分浏览器、和Hybrid App（提供Android IOS App源码），微信也是支持的，提供H5版语音通话聊天示例 和DTMF编解码

recurrent-independent-mechanisms

Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)

recursive-trajectory-clustering

Clustering aircraft trajectories with recursive DBSCAN