PyPI Stats
  • Insights
  • PyPI
  • GitHub
  • Search
  • Compare
  • Advisories
  • Ecosystem
  • About
Home

Search Packages

Find Python packages by name, description, GitHub topic, or filter by metrics
KevinMusgrave
pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

3.8M 6K 660
lightly-ai
lightly

A python library for self-supervised learning on images.

250K 4K 326
lightly-ai
lightly-utils

A python library for self-supervised learning on images.

233K 4K 326
dipy
dipy

DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

81K 819 497
open-mmlab
mmcls

OpenMMLab Pre-training Toolbox and Benchmark

54K 4K 1K
open-mmlab
mmpretrain

OpenMMLab Pre-training Toolbox and Benchmark

22K 4K 1K
s3prl
s3prl

Self-Supervised Speech Pre-training and Representation Learning Toolkit

16K 3K 532
RElbers
info-nce-pytorch

PyTorch implementation of the InfoNCE loss for self-supervised learning.

7K 613 43
open-edge-platform
otx

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

5K 1K 468
PaddlePaddle
paddlespeech-feat

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

3K 13K 2K
PaddlePaddle
paddlespeech

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

3K 13K 2K
Optimization-AI
libauc

LibAUC: A Deep Learning Library for X-Risk Optimization

3K 320 43
lucidrains
byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

3K 2K 251
OxWearables
stepcount

Improved Step Counting via Foundation Models for Wrist-Worn Accelerometers

2K 53 15
OxWearables
actinet

An activity classification model based on self-supervised learning for wrist-worn accelerometer data.

2K 12 3
prism-oncology
novae

Graph-based foundation model for spatial transcriptomics data. Zero-shot spatial domain inference, batch-effect correction, and many other features.

2K 129 12
BiaPyX
biapy

Open source Python library for building bioimage analysis pipelines

2K 197 41
chimera0
accelbrainbeat

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

2K 325 91
magcil
deepaudio-x

A python library to train Deep Neural Networks on various audio tasks using Self-Supervised backbones.

2K 27 0
salute-developers
gigaam

Foundational Model for Speech Recognition Tasks

2K 560 82
Digital-Dermatology
selfclean

[NeurIPS 2024] 🧼🔎 A holistic self-supervised data cleaning strategy to detect irrelevant samples, near duplicates and label errors.

2K 37 2
MohamedFarag21
temporal-straightening-pytorch

An Implementation of Temporal Straightening for Latent Planning

2K 0 0
chimera0
pydbm

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

2K 325 91
alibaba
pai-easycv

An all-in-one toolkit for computer vision

1K 2K 225
    • Data from PyPI, GitHub, ClickHouse, and BigQuery