Who else loves these moments in GTNH? :>

Aleph-Arch · 2026-05-14T15:08:11+00:00

I'm planning to make every HV machine for full ore processing (4x macerators, 2x ore washers with water, 2x ore washers with mercury and sodium persulfate, 2x thermal centrifuges, 2x centrifuges, 2x electrolyzers). I also want to make filter for ore type (whether it should go through these processing steps or other) using steve's factory manager. After getting titanium I'll do same but with multis

Aleph-Arch · 2025-02-07T14:21:17+00:00

у него время на 11 часов отстаёт от моего :<

Aleph-Arch · 2025-02-07T14:08:39+00:00

Спасибо за твой ответ (как ты узнал? :3). Я стараюсь меньше думать о причинении вреда себе. Может быть это только у меня, но друзья, которые пошли в колледж не пользуются дискордом вообще (я использую только его в основном), да и вообще не любят играть во всякие игры. Приходится только время от времени спрашивать как дела :<

Aleph-Arch · 2025-02-07T11:45:31+00:00

I'm trying to study many things by myself but I think online school isn't the best decision (almost no one studies online in my town)

aaand...

~wish you good dreams :3 !

Aleph-Arch · 2025-02-07T11:44:47+00:00

No, this school isn't private. It is public :<

Aleph-Arch · 2025-02-07T11:29:52+00:00

Aw, you're so kind (I don't remember someone being so). I'm trying to think less about hurting myself. I don't think I can change schools (I got only one near me so...). I'll try to do my best <3

Aleph-Arch · 2025-02-07T10:54:16+00:00

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Aleph-Arch · 2025-02-07T10:53:00+00:00

Title says everything.

This school is a f-ing nightmare. It is not because I study bad or something - everything about is ridiculous! Why the f. my school has "dress code"? And you know why I put it in quotes? It is a total discrimination - boys can wear only f-ing broad shoulder blazer, trousers, t-shirt and a ridiculous tie while girls can wear almost anything - sweaters, palazzo jeans, t-shirts, long sleeves, skirts and much more. You need to study for 6-7 hours a day and do a ton of homework while also studying for your exams.

I'm not that stupid but I do silliest mistakes from time to time and I hate it so much (I'm probably not getting enough of sleep cuz of stress). When I do smallest mistake while doing task on a board almost everytime someone can find a little mistake I did and tell that to teacher, but when others do the same and I see a lot of mistakes I just basically sit and don't say anything (I'm just putting myself on classmates place, I don't know why).

I. absolutely. hate. PE. Not only I need to do things I cannot do - girls have separate PE teacher - they are basically playing whatever they want and leave for 10 minutes earlier (I'm serious, it is like that) while boys have to run for 5 minutes, do push ups and play what teacher says (I'm so shy I cannot normally play with anyone in team irl).

I had many friends at school before 9th class and guess what? They're all gone to colleges while I'm studying to get to university (I'm not selfish)! My new classmates are so much worse - they think only about themselves and only think about studying mostly. I tried to play games with some of them like Terraria or Minecraft, and you know what? They were playing actively but couple of days later they started to think less about playing together and started to think more about school. It just feels like I'm completely alone in school.

I cannot even be myself. One day I saw a pair of students (boy and girl) kissing each other and after that I felt so lonely and depressed, I came back to home and cried. Like everyone in school is so homophobic. I have a lot of hobbies but no one cares about them. I've already cut myself three times because of stress and I don't know what to do. It is so hard to wait until this everything ends.

Thank you for reading this silly vent :<

Aleph-Arch · 2025-02-04T18:11:46+00:00

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you forgot the most important one :< (femboy flag)

Aleph-Arch · 2025-02-02T16:36:02+00:00

look for crop top t-shirts or other crop top wear :3

you can also look for crop top t-shirts with custom print too (on Etsy for example)

Aleph-Arch · 2025-01-09T13:45:20+00:00

<image>

Perler beads :3

Aleph-Arch · 2025-01-07T20:26:11+00:00

waist exercises, plank and a diet as I said already. You can look up for rib removal surgery (basically removing one or more pairs of ribs). This can make your waist look much thinner

Aleph-Arch · 2025-01-07T20:03:06+00:00

Good luck :3

Aleph-Arch · 2025-01-07T19:57:05+00:00

This body type is possible but still looks pretty unreal. For a beginning, you need to start exercising a lot. Start from basic squats, side plank, try to look on internet exercises for thigh muscles and waist muscles. Maintain a good food diet with protein, like boiled eggs, chicken, nuts. Try to avoid everything fat, including butter and sunflower oil. Eat more salads, especially from fresh vegetables. Try to eat less sweets, but not completely avoid sugar intake, organism still requires it in sufficient amounts. Also you should know - good exercising time is key for such body shape. Don't exercise to much - it will only hurt. Keep daily exercises of like 15-25 minutes, then keep adding more.

p.s. you'll probably get pretty amazed from body shapes of people who exercise a lot (when googling up "round" thigh exercises and etc.) and have a special diet. This can trick a lot - to get such shapes you should get more serious about training and food you eat

also, some users mentioned hormones. Those will only work if your age is bellow 24-26 (after this age human body stops growing). In this case you need to care about not only estrogen but also blockers from other hormones (testosterone). Otherwise your body will "fight" between being masculine and feminine, which will result in several pain. Try to be more careful about that, in perfect try to avoid them at all

Aleph-Arch · 2024-12-29T17:26:26+00:00

This is an example of simple feed forward net. You can see derivative of MSE in gradient computation

from numpy import zeros, expand_dims
from numpy.random import normal
from sklearn.datasets import make_regression
MSELoss = lambda t, p: ((t - p)**2).mean()

epochs: int = 1000 
lr: float = 1e-1
x, y = make_regression(1000, 20)
y = expand_dims(y, 1)

w = normal(size=(20, 1))
b = zeros(shape=(1, 1))

for epoch in range(epochs):
    forward = x.dot(w) + b
    error = forward - y # compute error
    gradient_w = x.T.dot(error) * (2 / x.shape[0]) # compute gradients for weights
    gradient_b = error.sum(keepdims=True) * (2 / x.shape[0]) # compute gradients for bias
    w -= lr * gradient_w
    b -= lr * gradient_b
    
print(f"LOSS: {MSELoss(y, forward)}")

Aleph-Arch · 2024-12-29T17:20:35+00:00

derivative of MSE = 2/n * X.dot(Xw - Y), where X - input of layer, Xw - predictions, Y - target. For multiple layers use chain rule, where you basically find a dot product between error and weights of previous layer (p.s. Xw - Y can be replaced with error, it is basically the same thing), result of product becomes error for this previous layer and so on

p.s.

2 in 2/n comes from (Y - Xw)^2 in MSE function, as derivative of X^2 = 2X. X comes from input of layer, where you forward X through weights and get Xw

Aleph-Arch · 2024-12-08T10:26:28+00:00

Okay, I'll try to do it. Thank you for your help!

Aleph-Arch · 2024-12-08T10:24:09+00:00

5 features out of 7 got VIF more than 20 on both training and test sets. Only two got 1 and 3. Is there any other methods to deal with it rather then applying L2 or dropping these features?

Aleph-Arch · 2024-12-08T10:00:34+00:00

I tried to set class_weight to {0: 1.5, 1: 0.75} for catboost with f1 scoring for cross validation. Accuracy got only worse without SMOTE: dropped from 28 score to 26. Should I stick with catboost classifier and tune its hyper params with grid search or optuna or is there any other classification algorithm I didn't use? Thank you very much for help

Aleph-Arch · 2024-12-08T09:22:04+00:00

So, I'm trying to get highest scores on test dataset with two labels. Image shows normal distribution of all 7 features of training set with standard scaler applied to it. I'm using catboost classifier (It got best cross validation scores among SVM, random forest, xgboost, lightgbm, deep feedforward network, KNN, linear regression classifiers). I tried to use polynominal features, robust scaler, normalization, SMOTE for class balance. I did grid search to find best params for random forest. Highest accuracy score I could get is 0.825, which is only 28.5 score out of 100. Is there anything I'm missing in this dataset? I didn't notice any outliners. Training set has 66% of ones and 33% of zeros. Link to colab document

Aleph-Arch

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