SKU: 79357561988

RacingLine Software - Stage 1 Remap - Transporter T6 / T6.1 - 2.0TDI 150ps

$189.00 $210.00
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Description

RacingLine Software - Stage 1 Remap - Transporter T6 / T6.1 - 2.0TDI 150psThis remapping service is carried out at our workshop premises in Rotherham S63 0BF STOCK BHP: 150 OEM+ BHP: 179 STOCK TORQUE: 251 LB FT OEM+ TORQUE: 297 LB FT REQUIRED PARTS None UNIQUE APPROACH It's by reprogramming the very basis of the controller itself that we achieve the results we get just as the manufacturers themselves work. GREAT PERFORMANCE By starting from scratch for each calibration, OEM+ achieves a very different level of performance

This remapping service is carried out at our workshop premises in Rotherham S63 0BF

STOCK BHP: 150   OEM+ BHP: 179

STOCK TORQUE: 251 LB FT OEM+ TORQUE: 297 LB FT

 

REQUIRED PARTS
None

 

UNIQUE APPROACH
It's by reprogramming the very basis of the controller itself that we achieve the results we get - just as the manufacturers themselves work.

GREAT PERFORMANCE
By starting from scratch for each calibration, OEM+ achieves a very different level of performance and drivability. It's never just about winding up the peak power.

PEACE OF MIND
We are uniquely positioned to tap into a vast knowledge base and resources network in our development. And we're confident enough that you'll love it that we offer a 30 day full money-back guarantee.

MATCHED TO HARDWARE
No other brand can offer you such a comprehensive 'full-car' tuning solution. Our Performance Parts range is the most complete on the market, all matched perfectly to the OEM+ software.

UPGRADES FOR LIFE
Free upgrades on your car for as long as you own it. Start with OEM+ Stage 1, then we will give you Stage 2 and even Stage 3 Performance Software for free!

RETURN TO STOCK
Should you ever want to return your car to standard, the OEM+ system has the facility to return your ECU to 'True Stock', the exact state it was in prior to installation of OEM+ tuning.

RacingLine has been developing high quality performance hardware parts for race and road cars for nearly two decades - firmly establishing ourselves as the hardware brand of choice for Volkswagen Group vehicles. But we aren’t stopping there.

We have been working flat out over the past two years to develop our OEM+ Performance Software. We believe it to be simply the best ECU Software Upgrades and TCU DSG Transmission Software in the market, conceived from a very different approach. By bringing together a full suite of carefully developed software, all matched to work in perfect harmony with our ever-growing range of hardware, we truly believe that RacingLine Performance can offer customers the most complete range of upgrades for their VWG car.

CAN I REMAP MY CAR AT HOME? 
Yes! The RacingLine PDM (Power Delivery Module) seen in our listings as the option "With PDM Home Flashing Tool" allows you to flash your car in your own garage or on your driveway. 

The Power Delivery Module allows you to access the full RacingLine Performance Software calibration suite for your car. With PDM, you can quickly and safely re-flash your Engine Control Unit (ECU) and DSG Transmission Control Unit (TCU) from the convenience of your own home.
Power Delivery Module is our latest user option to further enhance the Performance Software experience. PDM is our end-user tool to allow customers to install the RacingLine calibrations themselves. By purchasing this optional PDM Tool, you'll get access to exactly the same full Software Suite for your car as our RacingLine Performance Software dealers do.
But the difference is that the PDM tool allows you to install, remove, upgrade or change your calibration yourself, any time, any where.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
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  • Delivery to the USA:
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  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 79357561988

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4.3 ★★★★★
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Verified Purchase
Par
West Palm Beach, US
★★★★★ 5
Excellent book on ML
Format: Paperback
This is a great book on machine learning. Topics covered are extensive - from beginner level to advanced topics including math behind different algorithms. However, not "all" algorithms are covered. Please go through the table of contents. The first part - 11 chapters - covers machine learning concepts and second part covers advanced topics with Pytorch. There are lots of excellent code and they work!! The quality of the book I received is excellent. I have gone through all 742 pages, and it has held up very well!! I used Jupyter notebook to run all examples. I created a new notebook and copied and pasted the code and ran them. This approach worked very well for me. At the same time, I could experiment with my take on the code snippets and definitely added to my knowledge. Only issue I have is on the second part of the book discussing PyTorch: (1) Some packages are a bit older version: e.g., transformer 4.9.1 whereas current version is 4.48+. It took some tweaking/recoding to get the examples working. (2) There is not much discussion on why certain architecture was chosen - e.g., number of layers, is there a rule of thumb on how to improve performance by changing these parameters? Even with CUDA the code run for a long time. Therefore, experimenting with different values of parameters become too time consuming. (3) On the same note, if I can achieve test accuracy of 90%+ using logistic regression and almost the same (perhaps one or two percent better with PyTorch with IMDB movie review dataset and that two much faster why should I use PyTorch for this dataset? Obviously, PyTorch is for certain types of problems. Discussions can be included by not adding to the exhaustive (and apt) contents. Personally I was disappointed by lack of any example on time series. Must have for ML practitioner as a reference and guide.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 20, 2024
R
Verified Purchase
Richard Hackathorn
Whiting, US
★★★★★ 5
Excellent Textbook for Hands-On Learning of ML
Format: Kindle
This textbook is for the serious life-long learners of machine learning. There are at least two ways to ‘consume’ this book. For the expert in ML, this is a textbook to study as a clear comprehensive ML overview and then to dive into sections of interest or ignorance. The concepts are grounded in code examples and are well cited (with links) to sources. Further, this textbook is appropriate if you are TensorFlow-centric and want to broaden into cutting-edge ML models/tools coded in PyTorch. For a new learner to ML, this is a textbook to DO (not just READ) with hands-on and brain-engaged. If you realize that ML is a key life-long skill for your career, consider this textbook as part of a daily learning habit (10-30 min). From personal experience, my advice to the new learner is as follows… First, clone the GitHub repository, setup your Python environment, and study the textbook, while working through the notebooks. Go on tangents and break the code. Do this methodically as part of your daily learning habit, but do not hesitate to jump ahead several chapters to prepare for tomorrow’s meeting. There is enough excellent material here for a full year of ML adventures. I did a similar strategy with Raschka’s first textbook. About four years ago, I had finished Andrew Ng’s Deep Learning Specialization as a student in his first cohort. I knew the concepts well but could not do the actual application coding. I was surprised how my Python coding improved by following Raschka’s clean and elegant style. And Raschka’s code examples were meaty enough to be springboards into working applications. Several textbook editions later, what is different about this new edition? First, it moves you through scikit-Learn (a firm foundation) to PyTorch, instead of TensorFlow. PyTorch is a better stepping-stone, both conceptually and practically. With PyTorch, you will go further with less energy, while being able to convert your efforts into TensorFlow as needed. In addition, most of the cutting-edge ML/AI/DL research is in PyTorch. It is nice to read a recent arXiv paper, clone their repository, click on the Colab tutorial, and replicate their experiments, along with picking up a ton of new coding tricks & tips. I am excited to work through these PyTorch sections to hone my skills. Second, there is a clear recognition of model tracking and tuning practices. This is often a gap in other ML textbooks and courses. Once you progress beyond the simple demo examples in a lecture, you realize that the real work is experiments, more experiments, and still more experiments, so that you must understand what the model architecture and hyperparameters are doing to your dataset. There is good coverage of scikit-Learn pipeline, grid search, model performance, and the like. Third, ML/AI/DL practice is rapidly evolving. Every week new ML packages/services become available that could save much grief on your current project. What is refreshing about Raschka’s textbook series is that he constantly adding cutting-edge topics because he likes to stay current and to help us stay current. Hence, this edition contains recent ML treats as: transformers, self-supervised learning, autoencoders-to-GAN, graph neural networks, DBSCAN, t-SNE (with brief mention of UMAP), and PyTorch-Lightning.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022
A
Verified Purchase
Amazon Customer
Louisville, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 10, 2025
K
Verified Purchase
Kindle Customer
West Palm Beach, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 3, 2026
T
Verified Purchase
Tommy Jonsson
Fort Morgan, US
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2026

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