ftserver-android Activity
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iBoxDB modified a comment on discussion General Discussion
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#!/usr/bin/env python # coding: utf-8 '''The simplest deep learning, Continuous reinforcement, Run in desktop UI''' '''for LunarLander-v3 Continuous v1.5''' '''python gym_lunar.py''' __credits__ = ["iBoxDB", "Bruce Yang CL-N", "2025-2"] # 3rd parts #https://pytorch.org CPU version only import torch #pip install "gymnasium[box2d]" #pip install pygame import gymnasium #from gymnasium.envs.box2d.lunar_lander import LunarLander, LunarLanderContinuous # included in torch import numpy th = torch nn = th.nn...
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#!/usr/bin/env python # coding: utf-8 '''The simplest deep learning, CarRacing reinforcement, Run in desktop UI''' '''for CarRacing-v3 v1.4''' '''python gym_car14.py''' __credits__ = ["iBoxDB", "Bruce Yang CL-N", "2025-3"] # 3rd parts #https://pytorch.org CPU version only import torch #pip install "gymnasium[box2d]" #pip install pygame import gymnasium #from gymnasium.envs.box2d.car_racing import CarRacing # included in torch import numpy from copy import deepcopy th = torch nn = th.nn np = numpy...
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#!/usr/bin/env python # coding: utf-8 '''The simplest deep learning, CarRacing reinforcement, Run in desktop UI''' '''for CarRacing-v3 v1.4''' '''python gym_car14.py''' __credits__ = ["iBoxDB", "Bruce Yang CL-N", "2025-3"] # 3rd parts #https://pytorch.org CPU version only import torch #pip install "gymnasium[box2d]" #pip install pygame import gymnasium #from gymnasium.envs.box2d.car_racing import CarRacing # included in torch import numpy from copy import deepcopy th = torch nn = th.nn np = numpy...
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#!/usr/bin/env python # coding: utf-8 '''The simplest deep learning, CarRacing reinforcement, Run in desktop UI''' '''for CarRacing-v3 v1.3''' '''python gym_car13.py''' __credits__ = ["iBoxDB", "Bruce Yang CL-N", "2025-3"] # 3rd parts #https://pytorch.org CPU version only import torch #pip install "gymnasium[box2d]" #pip install pygame import gymnasium #from gymnasium.envs.box2d.car_racing import CarRacing # included in torch import numpy from copy import deepcopy th = torch nn = th.nn np = numpy...
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#!/usr/bin/env python # coding: utf-8 '''The simplest deep learning, CarRacing reinforcement, Run in desktop UI''' '''for CarRacing-v3 v1.3''' '''python gym_car13.py''' __credits__ = ["iBoxDB", "Bruce Yang CL-N", "2025-3"] # 3rd parts #https://pytorch.org CPU version only import torch #pip install "gymnasium[box2d]" #pip install pygame import gymnasium #from gymnasium.envs.box2d.car_racing import CarRacing # included in torch import numpy from copy import deepcopy th = torch nn = th.nn np = numpy...
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ShortLink Directly denoising Diffusion model, the Simplest deep learning. Version 1.1
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ShortLink 'Directly denoising Diffusion model, the Simplest deep learning. Version 1.1
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#!/usr/bin/env python # coding: utf-8 '''Directly denoising Diffusion model, the Simplest deep learning.''' '''Version 1.1''' '''python diff_c.py''' __credits__ = ["iBoxDB", "Bruce Yang CL-N", "2025-6"] # 3rd parts #https://pytorch.org CPU version only import torch import torch.nn as nn import torch.utils.data as tdata from torch.optim import Adam,AdamW,SGD from torchvision.datasets import MNIST, CIFAR10 from torchvision.utils import save_image, make_grid from PIL import ImageEnhance, Image import...
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ShortLink Directly denoising Diffusion model, the Simplest deep learning.
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#!/usr/bin/env python # coding: utf-8 '''Directly denoising Diffusion model, the Simplest deep learning.''' '''Version 1.0''' '''python diff.py''' __credits__ = ["iBoxDB", "Bruce Yang CL-N", "2025-5"] # 3rd parts #https://pytorch.org CPU version only import torch import torch.nn as nn import torch.utils.data as tdata from torch.optim import Adam,AdamW from torchvision.datasets import MNIST, CIFAR10 from torchvision.utils import save_image, make_grid import torchvision.transforms as transforms import...
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#!/usr/bin/env python # coding: utf-8 '''Mutant GAN generative adversarial network The simplest deep learning''' '''Version 1.0''' '''python mutant_gan.py''' __credits__ = ["iBoxDB", "Bruce Yang CL-N", "2025-4"] # 3rd parts #https://pytorch.org CPU version only import torch # pip install matplotlib import matplotlib.pyplot as plt # pip install pillow from PIL import Image, ImageDraw, ImageFont import torch.utils.data as data import matplotlib.pyplot as plt import matplotlib.animation as animation...
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#!/usr/bin/env python # coding: utf-8 '''The simplest deep learning, Seq2Seq, Sequence to Sequence. Version 1.3''' '''python seq2seq.py''' __credits__ = ["iBoxDB", "Bruce Yang CL-N", "2025-4"] # 3rd parts #https://pytorch.org CPU version only import torch import torch.utils.data as data import os th = torch nn = torch.nn class BrucePredictor(nn.Module): def __init__(self,max_seq,input_categories,out_categories,d_dim=128): super().__init__() self.embed = nn.Embedding(input_categories,d_dim) lin_dim...
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#!/usr/bin/env python # coding: utf-8 '''The simplest deep learning, CarRacing reinforcement, Run in desktop UI''' '''for CarRacing-v3 v1.1''' '''python gym_car.py''' __credits__ = ["iBoxDB", "Bruce Yang CL-N", "2025-3"] # 3rd parts #https://pytorch.org CPU version only import torch #pip install "gymnasium[box2d]" #pip install pygame import gymnasium #from gymnasium.envs.box2d.car_racing import CarRacing # included in torch import numpy from copy import deepcopy th = torch nn = th.nn np = numpy gym...
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#!/usr/bin/env python # coding: utf-8 '''The simplest deep learning, CarRacing reinforcement, Run in desktop UI''' '''for CarRacing-v3 v1.0''' '''python gym_car.py''' __credits__ = ["iBoxDB", "Bruce Yang CL-N", "2025-3"] # 3rd parts #https://pytorch.org CPU version only import torch #pip install "gymnasium[box2d]" #pip install pygame import gymnasium #from gymnasium.envs.box2d.car_racing import CarRacing # included in torch import numpy from copy import deepcopy th = torch nn = th.nn np = numpy gym...
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#!/usr/bin/env python # coding: utf-8 '''The simplest deep learning, Continuous reinforcement, Run in desktop UI''' '''for LunarLanderContinuous-v3 v1.4''' '''python gym.py''' __credits__ = ["iBoxDB", "Bruce Yang CL-N", "2025-2"] # 3rd parts #https://pytorch.org CPU version only import torch #pip install "gymnasium[box2d]" #pip install pygame import gymnasium #from gymnasium.envs.box2d.lunar_lander import LunarLander, LunarLanderContinuous # included in torch import numpy th = torch nn = th.nn np...
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#!/usr/bin/env python # coding: utf-8 '''The simplest deep learning, Discrete reinforcement, Run in desktop UI''' '''for LunarLander-v3 v1.0''' '''python gym_discrete.py''' __credits__ = ["iBoxDB", "Bruce Yang CL-N", "2025-2"] # 3rd parts #https://pytorch.org CPU version only import torch #pip install "gymnasium[box2d]" #pip install pygame import gymnasium #from gymnasium.envs.box2d.lunar_lander import LunarLander, LunarLanderContinuous # included in torch import numpy from copy import deepcopy th...
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#!/usr/bin/env python # coding: utf-8 '''The simplest deep learning, Discrete reinforcement, Run in desktop UI''' '''for LunarLander-v3 v1.0''' '''python gym_discrete.py''' __credits__ = ["iBoxDB", "Bruce Yang CL-N", "2025-2"] # 3rd parts #https://pytorch.org CPU version only import torch #pip install "gymnasium[box2d]" #pip install pygame import gymnasium #from gymnasium.envs.box2d.lunar_lander import LunarLander, LunarLanderContinuous # included in torch import numpy from copy import deepcopy th...
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:::python #!/usr/bin/env python # coding: utf-8 '''The simplest deep learning, Discrete reinforcement, Run in desktop UI''' '''for LunarLander-v3 v1.0''' '''python gym_discrete.py''' __credits__ = ["iBoxDB", "Bruce Yang CL-N", "2025-2"] # 3rd parts #https://pytorch.org CPU version only import torch #pip install "gymnasium[box2d]" #pip install pygame import gymnasium #from gymnasium.envs.box2d.lunar_lander import LunarLander, LunarLanderContinuous # included in torch import numpy from copy import...
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ftserver-android released /FTServer-2.0.61.apk
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Balbach Natalie committed [7d9cd3] on Code
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