MoCo | Unofficial pytorch implementation of MoCo : Momentum | Machine Learning library

by eveningglow Python Version: Current License: MIT

X-Ray Key Features Code Snippets(1)Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | MoCo Summary

MoCo is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. MoCo has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However MoCo build file is not available. You can download it from GitHub.

Unofficial pytorch implementation of Momentum Contrast for Unsupervised Visual Representation Learning (Paper).

Support

Quality

Security

License

Reuse

Support

MoCo has a low active ecosystem.

It has 4 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

MoCo has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of MoCo is current.

Quality

MoCo has 0 bugs and 0 code smells.

Security

MoCo has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

MoCo code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

MoCo is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

MoCo releases are not available. You will need to build from source code and install.

MoCo has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 680 lines of code, 24 functions and 6 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed MoCo and discovered the below as its top functions. This is intended to give you an instant insight into MoCo implemented functionality, and help decide if they suit your requirements.

Default loader
Load an image file
Load image from file
Create a dataset
Return True if filename ends with given extensions
Plot the accuracy
Data loader
Calculates accuracy
Plot the accuracy plot
Plots an encoder loss
Plots the loss plot
Move the momentum of the momentum
Calculate learning rate
Check if filename is an image file

Get all kandi verified functions for this library.

MoCo Key Features

No Key Features are available at this moment for MoCo.

MoCo Examples and Code Snippets

Using loss functions for unsupervised / self-supervised learning

pypi

Lines of Code : 13

License : No License

Copy

# your training for-loop
for i, data in enumerate(dataloader):
	optimizer.zero_grad()
	embeddings = your_model(data)
	augmented = your_model(your_augmentation(data))
	labels = torch.arange(embeddings.size(0))

	embeddings = torch.cat([embeddings, aug

Community Discussions

Trending Discussions on MoCo

Use the result of enrichKEGG() to make the dotplot

How to define variable from function that I'm running loop over?

Error: Cannot find module 'selenium-selenium'

QUESTION

Use the result of enrichKEGG() to make the dotplot

Asked 2021-Jul-19 at 15:02

entrezid_downgene=structure(list(SYMBOL = c("ARHGEF16", "ILDR1", "TMPRSS4", "MAP7", "SERINC2", "C9orf152", "TSPAN1", "RHEX", "TMC4", "CRB3", "UGT8", "CD24", "MAPK13", "AGR2", "GJB1", "ERBB3", "CNDP2", "LOC105378644", "GCNT3", "CEACAM1", "GPR160", "PRSS8", "HOOK1", "ABHD17C", "MOCOS", "CWH43", "EHF", "ACSL5", "SLC44A4", "RAP1GAP", "MUC13", "PPM1H", "ATP2C2", "RAB25", "H2BC5", "H4C12", "TJP3", "RXFP1", "GSTO2", "OVOL2", "TMEM125", "LIMS1", "DLX5", "ST6GALNAC1", "HNF1B", "STX19", "F2RL1", "MT1G", "PLPP2", "TMEM238", "SLC30A2", "GABRP", "EPCAM", "CLDN10", "HOXB5", "PRAME", "MAL2", "PLA2G10", "TSPAN12", "FAM174B", "TMC5", "ASRGL1", "SCNN1A", "FOXL2", "ALDH3B2", "ELF3", "SLC7A1", "MT1F", "CLDN3", "SPINT2", "SFN", "VWC2", "C9orf116", "SLC39A6", "TCN1", "IL20RA", "ACSM3", "FOXL2NB", "HGD", "PAX8", "IDO1", "C4BPA", "RHPN2", "HMGCR", "UGT2B11", "PIGR", "MUC20", "SLC3A1", "PLLP", "PSAT1", "SCGB2A1", "WNT5A", "DEFB1", "FGL1", "SLC2A8", "HOXB8", "CYP2J2", "WWC1", "MUC1", "PRKX", "RASEF", "BAIAP2L2", "PAPSS1", "MME", "HOMER2", "STRA6", "ARG2", "MOGAT1", "CDS1", "SCGB2A2", "MPZL2", "PHYHIPL", "INAVA", "IDO2", "GALNT4", "TMEM101", "HSD17B2", "AOC1", "CDCA7", "CAPS", "TFCP2L1", "PAEP", "PLAC9P1", "GAL", "RORB", "CCNO", "XDH", "C15orf48", "SLC1A1", "GPT2", "VNN1", "NWD1", "HABP2", "UGT2B7", "CYP26A1", "MSX1", "ENPP3", "KIR2DL3", "ADAMTS9", "KIR2DL4", "BRINP1", "PROM1", "APCDD1", "AGR3", "EYA2", "SLC2A1", "GNLY", "COL7A1", "FOXJ1", "MS4A8", "C20orf85", "RSPH1", "SCGB1D2", "SPP1", "RASD1", "CST1", "SCGB1D4", "LEFTY1", "LAMC3", "TEKT1", "LCN2", "VTCN1", "IRX3", "ROPN1L", "FAM183A", "NDP", "TUBB3", "DIO2", "IL2RB", "ADAMTS8", "SERPINA5", "NKG7", "ABCC8", "STC1", "LRRC26"), 
               ENTREZID = c("27237", "286676", "56649", "9053", "347735", "401546", "10103", "440712", "147798", "92359", "7368", "100133941", "5603", "10551", "2705", "2065", "55748", "105378644", "9245", "634", "26996", "5652", "51361", "58489", "55034", "80157", "26298", "51703", "80736", "5909", "56667", "57460", "9914", "57111", "3017", "8362", "27134", "59350", "119391", "58495", "128218", "3987", "1749", "55808", "6928", "415117", "2150", "4495", "8612", "388564", "7780", "2568", "4072", "9071", "3215", "23532", "114569", "8399", "23554", "400451", "79838", "80150", "6337", "668", "222", "1999", "6541", "4494", "1365", "10653", "2810", "375567", "138162", "25800", "6947", "53832", "6296", "401089", "3081", "7849", "3620", "722", "85415", "3156", "10720", "5284", "200958", "6519", "51090", "29968", "4246", "7474", "1672", "2267", "29988", "3218", "1573", "23286", "4582", "5613", "158158", "80115", "9061", "4311", "9455", "64220", "384", "116255", "1040", "4250", "10205", "84457", "55765", "169355", "8693", "84336", "3294", "26", "83879", "828", "29842", "5047", "389033", "51083", "6096", "10309", "7498", "84419", "6505", "84706", "8876", "284434", "3026", "7364", "1592", "4487", "5169", "3804", "56999", "3805", "1620", "8842", "147495", "155465", "2139", "6513", "10578", "1294", "2302", "83661", "128602", "89765", "10647", "6696", "51655", "1469", "404552", "10637", "10319", "83659", "3934", "79679", "79191", "83853", "440585", "4693", "10381", "1734", "3560", "11095", "5104", "4818", "6833", "6781", "389816")),
          row.names = c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 46L, 47L, 48L, 50L, 51L, 52L, 53L, 54L, 55L, 56L, 57L, 58L, 59L, 60L, 61L, 62L, 63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L, 75L, 76L, 77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L, 89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L, 101L, 102L, 103L, 104L, 105L, 106L, 107L, 108L, 109L, 110L, 111L, 112L, 113L, 114L, 115L, 116L, 117L, 118L, 119L, 120L, 121L, 123L, 124L, 125L, 126L, 127L, 128L, 129L, 130L, 131L, 132L, 133L, 134L, 135L, 136L, 137L, 138L, 139L, 140L, 141L, 142L, 143L, 144L, 145L, 146L, 147L, 148L, 149L, 150L, 151L, 152L, 153L, 154L, 155L, 156L, 157L, 158L, 159L, 160L, 161L, 162L, 163L, 164L, 165L, 166L, 167L, 168L, 169L, 170L, 171L, 172L, 173L, 174L, 175L, 176L, 177L), class = "data.frame") 
          

down_ekk <- enrichKEGG(gene= c(entrezid_downgene$ENTREZID),
                  organism  = 'hsa', 
                  pvalueCutoff = 0.05,
                  minGSSize = 50,
                  maxGSSize = 500,
                  
)
dot <- dotplot(down_ekk,font.size=6,title='down_kegg')  
dot

...

ANSWER

Answered 2021-Jul-16 at 09:26

This is normal you can't plot the dotplot because you have no significant ontologies. You can check with down_ekk :

Source https://stackoverflow.com/questions/68404726

QUESTION

How to define variable from function that I'm running loop over?

Asked 2021-Jun-24 at 16:37

This may be a super naive question, but I have a function that I'm trying to loop over with each item in a list being an input. The function is get_t1_file()

...

ANSWER

Answered 2021-Jun-24 at 16:37

You have to use the returned value of the function:

Source https://stackoverflow.com/questions/68119605

QUESTION

Error: Cannot find module 'selenium-selenium'

Asked 2020-Sep-11 at 21:30

Versions are:

...

ANSWER

Answered 2020-Sep-11 at 21:30

I think you use incorrect package name in your code - selenium-selenium. This package doesn't available on npmjs.org.

Try change this lines in our code:

Source https://stackoverflow.com/questions/63841190

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install MoCo

You can download it from GitHub.
You can use MoCo like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: