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ThePrincipalComponent
Приєднався 22 сер 2021
Elliptic Curve Cryptography Complete - Bitcoin From Scratch in Python - BFSP 02
Implementing 1. modular arithmetic and modular inverses with the extended Euclidean algorithm, and 2. the double-and-add method for elliptic curve point multiplication
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Відео
Elliptic Curve Point Addition - Bitcoin From Scratch in Python - BFSP 01
Переглядів 2679 місяців тому
point addition resource: math.stackexchange.com/questions/2198139/elliptic-curve-formulas-for-point-addition
Intro to Elliptic Curves - Bitcoin From Scratch in Python - BFSP 00
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Intro to Elliptic Curves - Bitcoin From Scratch in Python - BFSP 00
Recreating DeepMind's AlphaZero - AI Plays Connect 4 - Part 5: Building the ResNet Neural Network
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In this series we re-create DeepMind's AlphaZero to create an Artificial Intelligence Reinforcement Learning algorithm that plays Connect 4 using Python. View the rest of the series: ua-cam.com/users/playlist?list. Full Code: github.com/ThePrincipalComponent/AlphaZeroConnect4 AI, Deep Learning, Reinforcement Learning, DeepMind, Convolutional Neural Networks, Monte Carlo Tree Search, AlphaGo, Al...
Stable Diffusion Tutorial - 1024x1024 High Resolution Images with Standard Consumer GPU - 100% Free
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If you already have the Stable Diffusion repository up and running, skip to 15:45. For anyone running on less than 10 GB of VRAM, you will need to add two lines of code in the txt2imghd.py file: 1. Find the line of code that says: model = instantiate_from_config(config.model) 2. Immediately below it add a line that reads: model.half() 3. Find the line of code that says: init_image = repeat(init...
How to Install Git and add to PATH - Git is not recognized as an internal or external command
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How to fix error: Git is not recognized as an internal or external command
Stable Diffusion for Dummies - How to Install and Use Text to Image Art Generation AI - 100% Free
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If you are running into an issue that mentions git or missing modules/packages, it is a very simple fix: ua-cam.com/video/lt9oDAvpG4I/v-deo.html Step-by-step tutorial walk through of installation and use of Stable Diffusion Art Generation AI model. Link to code on GitHub: github.com/lstein/stable-diffusion/tree/78aba5b770d6e85e44c730da9735118d10912475 Link to Public Release: stability.ai/blog/s...
Recreating DeepMind's AlphaZero - AI Plays Connect 4 - Part 4: Building the ResNet Neural Network
Переглядів 1,6 тис.Рік тому
In this series we re-create DeepMind's AlphaZero to create an Artificial Intelligence Reinforcement Learning algorithm that plays Connect 4 using Python. View the rest of the series: ua-cam.com/users/playlist?list. Full Code: github.com/ThePrincipalComponent/AlphaZeroConnect4 A nice explanation of convolutions and padding: deeplizard.com/learn/video/qSTv_m-KFk0 AI, Deep Learning, Reinforcement ...
Recreating DeepMind's AlphaZero - AI Plays Connect 4 - Part 3: Monte Carlo Tree Search
Переглядів 1,7 тис.Рік тому
In this series we re-create DeepMind's AlphaZero to create an Artificial Intelligence Reinforcement Learning algorithm that plays Connect 4 using Python. View the rest of the series: ua-cam.com/users/playlist?list.. Full Code: github.com/ThePrincipalComponent/AlphaZeroConnect4 AI, Deep Learning, Reinforcement Learning, DeepMind, Convolutional Neural Networks, Monte Carlo Tree Search, AlphaGo, A...
Recreating DeepMind's AlphaZero - AI Plays Connect 4 - Part 2: Intro to Monte Carlo Tree Search
Переглядів 3 тис.2 роки тому
In this series we re-create DeepMind's AlphaZero to create an Artificial Intelligence Reinforcement Learning algorithm that plays Connect 4 using Python. A nice visualization of MCTS: ua-cam.com/video/62nq4Zsn8vc/v-deo.html View the rest of the series: ua-cam.com/users/playlist?list... Full Code: github.com/ThePrincipalCompon... AI, Deep Learning, Reinforcement Learning, DeepMind, Convolutional...
Recreating DeepMind's AlphaZero - AI Plays Connect 4 - Part 1: Building the Game Environment
Переглядів 1,5 тис.2 роки тому
In this series we re-create DeepMind's AlphaZero to create an Artificial Intelligence Reinforcement Learning algorithm that plays Connect 4 using Python. View the rest of the series: ua-cam.com/play/PLkYhK7LiOk0OWeGIRsbJz8kZGWxhrTpRx.html Full Code: github.com/ThePrincipalComponent/AlphaZeroConnect4 AI, Deep Learning, Reinforcement Learning, DeepMind, Convolutional Neural Networks, Monte Carlo ...
Recreating DeepMind's AlphaZero - AI Plays Connect 4 - Part 0: Introduction
Переглядів 1,9 тис.2 роки тому
In this series we re-create DeepMind's AlphaZero to create an Artificial Intelligence Reinforcement Learning algorithm that plays Connect 4 using Python. View the rest of the series: ua-cam.com/play/PLkYhK7LiOk0OWeGIRsbJz8kZGWxhrTpRx.html pygame code developed from: github.com/mahir008/Four_Connect/blob/main/main.py AI, Deep Learning, Reinforcement Learning, DeepMind, Convolutional Neural Netwo...
Why You Can't Get Rich Quick - Automated Cryptocurrency Trading Bot with Python - Pt. 7
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Part 7 of the automated cryptocurrency trading series. In this video, we explain misconceptions about cryptocurrency trading. Disclaimer: Cryptocurrency markets are very volatile, this video and others in this series are for educational purposes only and should not be regarded as financial advice. View the rest of the series: ua-cam.com/play/PLkYhK7LiOk0MPp44WMJMnQ4pBknK0Khli.html Full Code on ...
Automated Cryptocurrency Trading Bot with Python - Pt. 6 Live Trading on the Binance API (cont.)
Переглядів 3,9 тис.2 роки тому
Part 6 of the automated cryptocurrency trading series. In this video, we finish our implementation of a simple trading strategy on the Binance API. Disclaimer: Cryptocurrency markets are very volatile, this video and others in this series are for educational purposes only and should not be regarded as financial advice. View the rest of the series: ua-cam.com/play/PLkYhK7LiOk0MPp44WMJMnQ4pBknK0K...
Automated Cryptocurrency Trading Bot with Python - Pt. 5 Live Trading on the Binance API
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Part 5 of the automated cryptocurrency trading series. In this video, we begin to implement a simple trading strategy on the Binance API. View the rest of the series: ua-cam.com/play/PLkYhK7LiOk0MPp44WMJMnQ4pBknK0Khli.html Full code on GitHub: github.com/ThePrincipalComponent/01_TradingSeries/blob/main/Part5_6_live_trading.py
Automated Cryptocurrency Trading Bot with Python - Pt. 4 Machine Learning on Technical Indicators
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Automated Cryptocurrency Trading Bot with Python - Pt. 4 Machine Learning on Technical Indicators
Automated Cryptocurrency Trading Bot with Python - Pt. 3 Double Bottom Bollinger Bands Backtesting
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Automated Cryptocurrency Trading Bot with Python - Pt. 3 Double Bottom Bollinger Bands Backtesting
Automated Cryptocurrency Trading Bot with Python - Pt. 2 Bollinger Bands Backtesting
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Automated Cryptocurrency Trading Bot with Python - Pt. 2 Bollinger Bands Backtesting
Automated Cryptocurrency Trading Bot with Python - Pt. 1 Gathering Data
Переглядів 12 тис.2 роки тому
Automated Cryptocurrency Trading Bot with Python - Pt. 1 Gathering Data
Mine showed fork bomb💀
Part 6 please
Thank you very much brooh, may God reward you with goodness
👏👏
what if you still get the "git is not recognized as an internal or external command, operable program or batch file"
any github for your code mate?
thank you very helpful and strightforward
thanks, it works.
Great Series and excellent explanation. Please release part-6 soon.
Will you be completing the series?
Thank you so much
thanks alot!!!!!!😉
Very helpful bro....
savior this guy!
Roberto Dumoran@44gmil
thanks a lot, you are amazing ... when will be the next video please ?
helps a lot
Save my life! Thanks!
It worked 🎉🎉🎉 thanks dude lol I spent hours last night trying to figure that out omg 😢
@theprincipalcomponent Hi, I installed the Git a while ago into D disk. Now I saw that there is git path "D:\dasturlar\Git\bin" in system variables but there isn't path in User variables. Is this normal? Should I create path for Git in User variables?
Oh no, where's the next part?
how the hell do I reset everything I got lost and not the git repository stuff is in the wrong place god knows where
thank you
legend
I did all that and got this error code 128 stderr: fatal: not a git repository (or any of the parent directories): .git
I will look at this video today,because recent trained model can render correctly only in 1024 resolution.. Somehow I don't think other users can generate such high images.. I hope I will find there info
Thanks a lot man, it worked
no module named torch..? for text 2 img, even thoo pytorch is installed
helps me a lot,thank you!❤
I still have windows 10. is it different on windows 10?
You are truley talent, it's really worked
Will this work with stable diffusion v2 and automatic1111? I'd really like to get those two running inside anaconda. As a side note; your tutorial gave me anaconda experience which allowed me to get autogpt going in anaconda. Cheers!
Great series! Looking forward to the next part
I have an Intel Iris Plus graphic card. Do I have any alternative? Thank you
So this is no different essentially than running a 512 stable diffusion image through openjourney then imputing that file into cupscale and running ESRGAN 4x on it right This just automatically upscales the 512 image correct ?
Ive been running my selected 512 images into cupscale , but if this somehow is creating better quality let me know. But im pretty sure I understand there is no difference
Nice! I think you can simplify the code a little though. You can get the valid moves as just board.all(axis=0).astype(int) (or just leave out the astype(int), you probably won't need ints instead of bools anyway...) with and is_board_full as board.all() For checking the columns and rows in is_win you can use slices instead of the four equalities, e.g. to check the columns inside the double for loop you can just write board[column,range(row, row+4)] == player but here you can even remove the outer loop over the columns since you can do something like (board[:,range(row, row+4)] == player).all(axis=0).any() this way you can get rid of at least some of the code duplication. Also instead of checking the rows, columns, and both diagonal directions, you could get by having a nested helper function that checks only the columns and one of the diagonal directions and call it twice, once on board and once on board.transpose(). A good question to ask oneself would be how the code would generalize to accept not just more general board sizes, but an integer n instead of 4, and maybe even a board of dimension m.
Hey there @ThePrincipalComponent . This was an awesome series. Can you possibly complete it soon? I was taking inspiration from this series to make another project for my school on a similar theme and now I am stuck. It would be awesome if you release the next part soon, I believe it is almost done.
I really like your videos, looking forward to part 6
I really hope you release part 6
Señor usted es genial, thanks a lot :), muchas gracias pues
Nice job works well but there were some dependencies that I had to install before it would run dream. Cool tutorial though!
First of all, great work and thank you for all the information presented in the video series. Second, i have something to add/help: The "get_precision" function is not considering the step_size of the coins and that causes "LOT_SIZE" error. I modified to: get_precision(self, symbol): step_size = 0.0 for f in self.client.get_symbol_info(f'{symbol}USDT')['filters']: if f['filterType'] == 'LOT_SIZE': step_size = float(f['stepSize']) prec = int(round(-math.log(step_size, 10), 0)) return prec
Congratulations for the great job and the explanation but the bot running without buy or sell orders... Can I do something to run with real trades?
How can we generate with our own photo? thanks for the video!
The full version of the ckpt file is for training purposes. ua-cam.com/video/lztn6qLc9UE/v-deo.html
It will be nice when someone (or some company) creates an installable version with an easy to use interface similar to the online pay-for websites. And super nice when I can upload photos of a product and be able to output pictures or videos of the product in different scenarios or like a short video of a specific ring on a finger with the hand moving to display it. I think this would be an incredible marketing tool!
Are you going to use self-play algoritm to train the network with the help of mcts? If ever you have plan in making part 6.
very helpful thank you!
you sound like Elon Musk
It didn't download some packages completly and I get the error: "CondaSSLError: Encountered an SSL error. Most likely a certificate verification issue. Exception: [SSL: DECRYPTION_FAILED_OR_BAD_RECORD_MAC] decryption failed or bad record mac (_ssl.c:2633)"
Now I used the update anaconda command and it told me to delete a few files by hand and restart the update command. I deleted the files by hand and now I'm unable to change the directory in anaconda.
I never had any problems with any development environments. But everything python related always leads to errors.
And now half of the files are corrupted. Now I will deinstall everything again and try to find the seventh different instruction to get it work.
I did it again. Got the same error again. Used the update command and it worked. I also activated "ldm". But on the last step it told me that Python couldn't be found.
I went to "Settings -> Aliasses for apps" and deactivated app installer for python. Now it recognizes Python, but it couldn't find the torch module. I give up.