StackRating

An Elo-based rating system for Stack Overflow
Home   |   About   |   Stats and Analysis   |   Get a Badge
Rating Stats for

tch

Rating
1507.64 (101,422nd) 		Reputation
485 (280,068th)
Page: 1
Title Δ
Higher precision eigenvalues with numpy 0.00
How can I compare two arrays with different sizes but with some flo... 0.00
How make a vectorized approach for calculating pair-wise Manhattan/... 0.00
Create a new large matrix by stacking in its diagonal K matrices +4.91
Constructing Sparse CSR Matrix Directly vs Using COO tocsr() - Scipy 0.00
loop through numpy matrix elements -3.73
How to delete the element in a list which is duplicated for linear... 0.00
How can i vectorize a matrix/ the input so that scipy.optimize.mini... 0.00
Does SciPy.sparse.linalg.svds give matrix rank? 0.00
How to make vectorized computation instead of 'for' loops f... -1.60
Evaluate array valued function python 3 0.00
Get Left, Right, Up, Down Nonzero Neighbor from SciPy Sparse Matrix +3.98
np.linalg.qr(A) or scipy.linalg.orth(A) for finding the orthogonal... +3.81
How to apply operations with conditionals, like if, to a large nump... 0.00
Numpy rotation matrix multiplication -0.26
Custom NumPy Slice -0.02
How to convert back points in 2d to 3d with known orthogonal (camer... 0.00
n*n Matrix using tile function in python -3.15
Python Optimization: Using vector technique to find power of each m... -2.57
From a 2D array, create 2nd 2D array of Unique(non-repeated) random... 0.00
More efficient solution to find longest series based on boolean in... 0.00
How to apply linspace between each element in numpy vector? -2.85
Fitting a theoretical distribution to a sampled empirical CDF with... +3.94
Invert the scale of an array +4.38
Slicing and stacking tuple elements into matrix in Python -1.12
Least square on linear N-way-equal problem +1.92
Efficiently compute pairwise Jaccard similarity from sparse array 0.00
Shape of an array in numpy.asarray 0.00
FAST Computation of Integer Basis for Kernel of a Matrix Using GPU 0.00
Slicing Array of four matrices 0.00