companydirectorylist.com  Global Business Directories and Company Directories
Search Business,Company,Industry :


Country Lists
USA Company Directories
Canada Business Lists
Australia Business Directories
France Company Lists
Italy Company Lists
Spain Company Directories
Switzerland Business Lists
Austria Company Directories
Belgium Business Directories
Hong Kong Company Lists
China Business Lists
Taiwan Company Lists
United Arab Emirates Company Directories


Industry Catalogs
USA Industry Directories












Company Directories & Business Directories

NETTOYEUR ET BUANDERIE QUARTIER FRANCA

MONTREAL-Canada

Company Name:
Corporate Name:
NETTOYEUR ET BUANDERIE QUARTIER FRANCA
Company Title:  
Company Description:  
Keywords to Search:  
Company Address: 1251 Rue Amherst,MONTREAL,QC,Canada 
ZIP Code:
Postal Code:
H2L 
Telephone Number: 5145257777 
Fax Number:  
Website:
 
Email:
 
USA SIC Code(Standard Industrial Classification Code):
54080 
USA SIC Description:
CLEANERS 
Number of Employees:
 
Sales Amount:
 
Credit History:
Credit Report:
Institution 
Contact Person:
 
Remove my name



copy and paste this google map to your website or blog!

Press copy button and paste into your blog or website.
(Please switch to 'HTML' mode when posting into your blog. Examples:
WordPress Example, Blogger Example)









Input Form:Deal with this potential dealer,buyer,seller,supplier,manufacturer,exporter,importer

(Any information to deal,buy, sell, quote for products or service)

Your Subject:
Your Comment or Review:
Security Code:



Previous company profile:
NETTOYEUR EXCEL
NETTOYEUR EXPRESS ENR
NETTOYEUR ET BUANDERIE BEAUBIEN
Next company profile:
NETTOYEUR ET CORDONNERIE CTR
NETTOYEUR ET TAILLEUR
NETTOYEUR EUROPEEN










Company News:
  • GitHub - openai gpt-oss: gpt-oss-120b and gpt-oss-20b are two open . . .
    Try gpt-oss · Guides · Model card · OpenAI blog Download gpt-oss-120b and gpt-oss-20b on Hugging Face Welcome to the gpt-oss series, OpenAI's open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases We're releasing two flavors of these open models: gpt-oss-120b — for production, general purpose, high reasoning use cases that fit into a single
  • Awesome GPT - GitHub
    Awesome GPT A curated list of awesome projects and resources related to GPT, ChatGPT, OpenAI, LLM, and more
  • GPT-3: Language Models are Few-Shot Learners - GitHub
    Specifically, we train GPT-3, an autoregressive language model with 175 billion parameters, 10x more than any previous non-sparse language model, and test its performance in the few-shot setting
  • GitHub - openai gpt-2: Code for the paper Language Models are . . .
    gpt-2 Code and models from the paper "Language Models are Unsupervised Multitask Learners" You can read about GPT-2 and its staged release in our original blog post, 6 month follow-up post, and final post We have also released a dataset for researchers to study their behaviors
  • SparkGPT001 gpt-tutorial-101 - GitHub
    SparkGPT001 gpt-tutorial-101 Public Notifications You must be signed in to change notification settings Fork 72 Star 392
  • gpt-engineer - GitHub
    gpt-engineer installs the binary 'bench', which gives you a simple interface for benchmarking your own agent implementations against popular public datasets The easiest way to get started with benchmarking is by checking out the template repo, which contains detailed instructions and an agent template
  • GPT-API-free DeepSeek-API-free - GitHub
    ️ 免费API Key gpt-5系列模型的推理能力较弱,若需要更强的推理能力,可以购买付费API ️ 免费API Key仅可用于个人非商业用途,教育,非营利性科研工作中。
  • GPT-5 Coding Examples - GitHub
    GPT-5 will scaffold the app, write files, install dependencies as needed, and show a live preview This is the go-to solution for developers who want to bootstrap apps or add features quickly You can also use GPT-5 with any other AI coding tool that supports the model
  • graphcore gpt-j: Notebook for running GPT-J GPT-J-6B - GitHub
    GPT-J is an open-source alternative from EleutherAI to OpenAI's GPT-3 Available for anyone to download, GPT-J can be successfully fine-tuned to perform just as well as large models on a range of NLP tasks including question answering, sentiment analysis, and named entity recognition Try running
  • GitHub - karpathy minGPT: A minimal PyTorch re-implementation of the . . .
    A PyTorch re-implementation of GPT, both training and inference minGPT tries to be small, clean, interpretable and educational, as most of the currently available GPT model implementations can a bit sprawling




Business Directories,Company Directories
Business Directories,Company Directories copyright ©2005-2012 
disclaimer