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ayush1999 / ngrams=1.txt
Last active April 1, 2019 09:36
component model with ngrams=1, 2
X: (101423, 1934), y: (101423,)
X_train: (91280, 1934), y_train: (91280,)
X_test: (10143, 1934), y_test: (10143,)
No confidence threshold - 10143 classified
[[0 0 0 ... 0 0 0]
[0 0 0 ... 0 0 0]
[0 0 3 ... 0 0 0]
...
[0 0 0 ... 2 0 0]
[0 0 0 ... 0 2 0]
@ayush1999
ayush1999 / linear.jl
Created November 27, 2018 12:35
trying out linear regression from scratch
mutable struct LinearRegression
inputs::Any
targets::Any
params::Any
end
function LinearRegression(a::Any, b::Any)
params = zeros(size(a, 2), 1)
err = []
for i=1:size(a, 1)
@ayush1999
ayush1999 / densenet121.jl
Created July 14, 2018 09:22
DenseNet121
flipkernel(x) = x[end:-1:1, end:-1:1, :, :]
begin
edge_1 = (Flux.unsqueeze)(weights["conv1/bn_w_0"], (ndims(weights["conv1/bn_w_0"]) + 1) - 1)
edge_2 = (Flux.unsqueeze)(weights["conv1/bn_b_0"], (ndims(weights["conv1/bn_b_0"]) + 1) - 1)
edge_3 = (Flux.unsqueeze)(weights["conv2_1/x1/bn_w_0"], (ndims(weights["conv2_1/x1/bn_w_0"]) + 1) - 1)
edge_4 = (Flux.unsqueeze)(weights["conv2_1/x1/bn_b_0"], (ndims(weights["conv2_1/x1/bn_b_0"]) + 1) - 1)
edge_5 = (Flux.unsqueeze)(weights["conv2_1/x2/bn_w_0"], (ndims(weights["conv2_1/x2/bn_w_0"]) + 1) - 1)
edge_6 = (Flux.unsqueeze)(weights["conv2_1/x2/bn_b_0"], (ndims(weights["conv2_1/x2/bn_b_0"]) + 1) - 1)
edge_7 = (Flux.unsqueeze)(weights["conv2_2/x1/bn_w_0"], (ndims(weights["conv2_2/x1/bn_w_0"]) + 1) - 1)
edge_8 = (Flux.unsqueeze)(weights["conv2_2/x1/bn_b_0"], (ndims(weights["conv2_2/x1/bn_b_0"]) + 1) - 1)
@ayush1999
ayush1999 / generated_file.jl
Last active May 15, 2018 12:11
DenseNet121 in Julia (using ONNX and Flux)
Mul(a,b,c) = b .* reshape(c, (1,1,size(c)[a],1))
Add(axis, A ,B) = A .+ reshape(B, (1,1,size(B)[1],1))
begin
c_1 = Conv(weights["fc6_w_0"], weights["fc6_b_0"], stride=(1, 1), pad=(0, 0))
c_2 = Conv(weights["conv4_blk_w_0"], Float32[0.0], relu, stride=(1, 1), pad=(0, 0))
c_3 = Conv(weights["conv3_blk_w_0"], Float32[0.0], relu, stride=(1, 1), pad=(0, 0))
c_4 = Conv(weights["conv2_blk_w_0"], Float32[0.0], relu, stride=(1, 1), pad=(0, 0))
c_5 = Conv(weights["conv1_w_0"], Float32[0.0], relu, stride=(2, 2), pad=(3, 3))
c_6 = Conv(weights["conv2_1/x2_w_0"], Float32[0.0], relu, stride=(1, 1), pad=(1, 1))
c_7 = Conv(weights["conv2_1/x1_w_0"], Float32[0.0], relu, stride=(1, 1), pad=(0, 0))
@ayush1999
ayush1999 / coala log
Created November 8, 2017 09:55
Log of running Coala on Keras repo.
[WARNING][15:22:39] 'cli' is an internally reserved section name. It may have been generated into your coafile while running coala with `--save`. The settings in that section will inherit implicitly to all sections as defaults just like CLI args do.Please change the name of that section in your coafile to avoid any unexpected behavior.
Please enter a value for the setting "use_spaces" (True if spaces are to be used instead of tabs.) needed by SpaceConsistencyBear for section "cli":
False
Executing section cli...
[INFO][15:22:55] Applied 'ApplyPatchAction' on 'iris.py' from 'SpaceConsistencyBear'.
[INFO][15:22:55] Applied 'ApplyPatchAction' on 'iris.py' from 'SpaceConsistencyBear'.
[INFO][15:22:55] Applied 'ApplyPatchAction' on 'iris.py' from 'SpaceConsistencyBear'.
[INFO][15:22:55] Applied 'ApplyPatchAction' on 'diabetes.py' from 'SpaceConsistencyBear'.
[INFO][15:22:55] Applied 'ApplyPatchAction' on 'diabetes.py' from 'SpaceConsistencyBear'.
[WARNING][21:29:09] 'cli' is an internally reserved section name. It may have been generated into your coafile while running coala with `--save`. The settings in that section will inherit implicitly to all sections as defaults just like CLI args do.Please change the name of that section in your coafile to avoid any unexpected behavior.
Please enter a value for the setting "use_spaces" (True if spaces are to be used instead of tabs.) needed by SpaceConsistencyBear for section "cli":
False
Executing section cli...
[WARNING][21:29:13] No files matching '/home/ayush99/Desktop/ML/linear_regression 2.py' were found.
[WARNING][21:29:13] No files matching '/home/ayush99/Desktop/ML/linear_regression 1.py' were found.
[INFO][21:29:14] Applied 'ApplyPatchAction' on 'logistic_regression.py' from 'SpaceConsistencyBear'.
[INFO][21:29:14] Applied 'ApplyPatchAction' on 'multiple_linear_regression.py' from 'SpaceConsistencyBear'.
[INFO][21:29:14] Applied 'ApplyPatchAction' on 'multiple_linear_regression.py' from 'SpaceConsis
@ayush1999
ayush1999 / results:
Created October 31, 2017 18:02
Running Coala on a project.
[WARNING][23:30:34] Implicit 'Default' section inheritance is deprecated. It will be removed soon. To silence this warning remove settings in the 'Default' section from your coafile. You can use dots to specify inheritance: the section 'all.python' will inherit all settings from 'all'.
Executing section python...
[WARNING][23:30:35] No files matching '/home/ayush99/Desktop/ML/keras/coalib/**/*.py' were found.
[WARNING][23:30:35] No files matching '/home/ayush99/Desktop/ML/keras/tests/**/*.py' were found.
[WARNING][23:30:35] No files matching '/home/ayush99/Desktop/ML/keras/coala' were found.
[INFO][23:30:35] Applied 'ApplyPatchAction' on 'diabetes.py' from 'SpaceConsistencyBear'.
[INFO][23:30:35] Applied 'ApplyPatchAction' on 'iris.py' from 'SpaceConsistencyBear'.
[INFO][23:30:35] Applied 'ApplyPatchAction' on 'iris.py' from 'QuotesBear'.
[INFO][23:30:35] Applied 'ApplyPatchAction' on 'iris.py' from 'QuotesBear'.
[INFO][23:30:35] Applied 'ApplyPatchAction' on 'iris.py' from 'QuotesBear'.
@ayush1999
ayush1999 / socket_client.py
Created August 8, 2017 16:13 — forked from tuxmartin/socket_client.py
Python socket - server and client example (push notifications)
import socket
host = 'localhost'
port = 1234
buf = 1024
clientsocket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
clientsocket.connect((host, port))
print "Sending 'test1\\n'"