- Machine Learning cheatsheet: https://stanford.edu/~shervine/teaching/cs-229.html
- Pattern Recognition and Machine Learning Book
Tanmoy Dam TanmDL
TanmDL
/ 0.useful.md
Created
June 28, 2022 02:31
— forked from felipemoraes/0.useful.md
Machine Learning Interview Questions
TanmDL
/ pytorch_resume_training
Created
November 6, 2019 05:36
— forked from ptrblck/pytorch_resume_training
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| import torch | |
| import torch.nn as nn | |
| import torch.optim as optim | |
| from torch.autograd import Variable | |
| import torch.nn.functional as F | |
| import matplotlib.pyplot as plt | |
| import numpy as np |
TanmDL
/ weight_init.py
Created
September 25, 2019 00:59
— forked from jeasinema/weight_init.py
A simple script for parameter initialization for PyTorch
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| #!/usr/bin/env python | |
| # -*- coding:UTF-8 -*- | |
| import torch | |
| import torch.nn as nn | |
| import torch.nn.init as init | |
| def weight_init(m): | |
| ''' |
TanmDL
/ normalize_image.ipynb
Created
August 15, 2019 04:55
— forked from anonymous/normalize_image.ipynb
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TanmDL
/ mutual_info.py
Created
June 6, 2019 03:48
— forked from GaelVaroquaux/mutual_info.py
Estimating entropy and mutual information with scikit-learn
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| ''' | |
| Non-parametric computation of entropy and mutual-information | |
| Adapted by G Varoquaux for code created by R Brette, itself | |
| from several papers (see in the code). | |
| These computations rely on nearest-neighbor statistics | |
| ''' | |
| import numpy as np |
TanmDL
/ covarianceSSVEPextraction.ipynb
Created
May 7, 2019 10:38
— forked from sylvchev/covarianceSSVEPextraction.ipynb
Building extended SSVEP covariance matrices for EEG-based cerebral interfaces
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