| Name | Version | Summary | date |
| tensor-engine |
0.0.6 |
A Cool Terminal Game Engine built with Python. |
2025-08-01 19:37:32 |
| phiml |
1.14.0 |
Unified API for machine learning |
2025-07-31 16:39:52 |
| quimb |
1.11.2 |
Quantum information and many-body library. |
2025-07-31 00:25:26 |
| hypothesis-torch |
1.0.18 |
Hypothesis strategies for various Pytorch structures, including tensors and modules. |
2025-07-26 23:44:43 |
| python-einsum |
0.0.1 |
Simple, readable Einstein Summation in Python. |
2025-07-19 05:25:04 |
| diffai-python |
0.3.16 |
AI/ML specialized diff tool for deep tensor comparison and analysis |
2025-07-18 07:32:54 |
| nuTens |
0.3.3 |
Library to calculate neutrino oscillation probabilities in a fast, flexible, and differentiable way |
2025-07-15 23:27:02 |
| vizy |
1.0.0 |
Tiny tensor visualiser: vz.plot(t) / vz.save(t) |
2025-07-11 22:30:17 |
| autoray |
0.7.2 |
Abstract your array operations. |
2025-07-09 00:26:37 |
| cotengra |
0.7.1 |
Hyper optimized contraction trees for large tensor networks and einsums. |
2025-02-25 02:05:40 |
| dividebyzero |
0.1.3 |
A NumPy extension implementing division by zero as dimensional reduction |
2025-02-22 08:12:23 |
| tensorizer |
2.9.2 |
A tool for fast PyTorch module, model, and tensor serialization + deserialization. |
2025-02-20 08:19:31 |
| causaltensor |
0.1.10 |
Package for causal inference in panels |
2025-02-07 16:58:55 |
| batchtensor |
0.0.5 |
Functions to manipulate batches of PyTorch tensors |
2025-02-02 10:57:58 |
| nvpl-tensor |
0.3.0 |
NVPL Tensor |
2025-01-29 22:02:40 |
| tensortrax |
0.26.1 |
Differentiable Tensors based on NumPy Arrays |
2025-01-12 11:34:04 |
| synapx |
0.1.0a0 |
A deep learning library with an autograd engine and core operations implemented in C++, featuring a Torch-like API. |
2025-01-06 00:02:25 |
| cortex-tensor |
0.0.0 |
A Deep learning library with CPU and GPU support |
2024-12-27 02:00:06 |
| numpypy |
1.17.2 |
(It is an alias for PyPyNum) PyPyNum is a multifunctional Python math lib. It includes modules for math, data analysis, array ops, crypto, physics, randomness, data prep, stats, solving eqns, image processing, interp, matrix calc, and high-precision math. Designed for scientific computing, data science, and machine learning, PyPyNum provides efficient and versatile tools. |
2024-12-08 23:26:38 |
| PyPyNum |
1.17.2 |
PyPyNum is a multifunctional Python math lib. It includes modules for math, data analysis, array ops, crypto, physics, randomness, data prep, stats, solving eqns, image processing, interp, matrix calc, and high-precision math. Designed for scientific computing, data science, and machine learning, PyPyNum provides efficient and versatile tools. |
2024-12-08 23:22:59 |