Anjum Sayed Anjum48
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| 2024-12-02T06:06:10.717551Z Cloning repository... | |
| 2024-12-02T06:06:23.861517Z From https://github.com/Anjum48/tapesearch | |
| 2024-12-02T06:06:23.862039Z * branch 2e000ede8c426e678fb5e6f93d7caf6615eeeff3 -> FETCH_HEAD | |
| 2024-12-02T06:06:23.862266Z | |
| 2024-12-02T06:06:24.106674Z HEAD is now at 2e000ed Auto-merge sitemaps branch into main on 2024-12-02 | |
| 2024-12-02T06:06:24.107145Z | |
| 2024-12-02T06:06:24.18439Z | |
| 2024-12-02T06:06:24.185004Z Using v2 root directory strategy | |
| 2024-12-02T06:06:24.206725Z Success: Finished cloning repository files | |
| 2024-12-02T06:06:25.769784Z Checking for configuration in a wrangler.toml configuration file (BETA) |
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| 2024-11-26T21:00:36.244234Z Cloning repository... | |
| 2024-11-26T21:00:49.423279Z From https://github.com/Anjum48/tapesearch | |
| 2024-11-26T21:00:49.423792Z * branch 7e8db798b4b8cc3682e0dbd8ce3374cffcb04e88 -> FETCH_HEAD | |
| 2024-11-26T21:00:49.423928Z | |
| 2024-11-26T21:00:49.674545Z HEAD is now at 7e8db79 Merge pull request #525 from Anjum48/dev | |
| 2024-11-26T21:00:49.675079Z | |
| 2024-11-26T21:00:49.75814Z | |
| 2024-11-26T21:00:49.758685Z Using v2 root directory strategy | |
| 2024-11-26T21:00:49.78507Z Success: Finished cloning repository files | |
| 2024-11-26T21:00:51.242166Z Checking for configuration in a wrangler.toml configuration file (BETA) |
Anjum48
/ fresh_install.sh
Last active
August 23, 2024 08:16
Instructions for a fresh Ubuntu 22.04 install
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| sudo apt update && sudo apt upgrade -y | |
| sudo apt -y install build-essential git zsh python3-pip gnome-shell-extension-manager openssh-server curl nodejs htop mdadm ffmpeg lm-sensors npm tree | |
| sudo apt -y install linux-headers-$(uname -r) | |
| sudo apt-key del 7fa2af80 | |
| # Latest driver download | |
| # https://www.nvidia.co.uk/download/driverResults.aspx/205541/en-uk | |
| wget https://uk.download.nvidia.com/XFree86/Linux-x86_64/535.54.03/NVIDIA-Linux-x86_64-535.54.03.run |
Anjum48
/ sigmoid_video.py
Created
May 31, 2023 09:39
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| import numpy as np | |
| import matplotlib.pyplot as plt | |
| import random | |
| import matplotlib.animation as animation | |
| from matplotlib import cm | |
| # s curve function | |
| def _f(a,b,c,t): | |
| return c*1/(1+a*np.exp(-b*t)) | |
| # function for s curve with added noise |
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| class HardMiningBatchSampler(BatchSampler): | |
| """ | |
| Creates batches that only contain a class once and and chosen based on embedding distance. | |
| Used for NPairLoss | |
| """ | |
| def __init__(self, labels, batch_size, drop_last=True, classes=None): | |
| self.labels = labels | |
| self.batch_size = batch_size | |
| # self.C = batch_size * 2 if classes is None else classes |
Anjum48
/ nested_cv_wrapper.py
Created
February 5, 2020 06:13
A first pass of a Nested CV wrapper for category encoders
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| from category_encoders import utils | |
| from sklearn.base import BaseEstimator, TransformerMixin | |
| from sklearn.model_selection import StratifiedKFold | |
| import category_encoders as encoders | |
| import pandas as pd | |
| import numpy as np | |
| import copy | |
| class NestedCVWrapper(BaseEstimator, TransformerMixin): |
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| import numpy as np | |
| import pandas as pd | |
| import os | |
| import matplotlib.pyplot as plt | |
| import torch | |
| import torch.nn as nn | |
| import torch.nn.functional as F | |
| import torch.optim as optim | |
| from torch.utils.data import Dataset, DataLoader |
Anjum48
/ ddpg_gym.py
Last active
May 15, 2019 13:03
Pendulum-v0 submission using DDPG without batch normalisation
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| """ | |
| Implementation of DDPG - Deep Deterministic Policy Gradient | |
| Algorithm and hyperparameter details can be found here: http://arxiv.org/pdf/1509.02971v2.pdf | |
| Variance scaling paper: https://arxiv.org/pdf/1502.01852v1.pdf | |
| Thanks to GitHub users yanpanlau, pemami4911, songrotek and JunhongXu for their DDPG examples | |
| Batch normalisation on the actor accelerates learning but has poor long term stability. Applying to the critic breaks | |
| it, particularly on the state branch. Not sure why but I think this issue is specific to this environment | |
| """ | |
| import numpy as np |