tornikeo

Results 12 issues of tornikeo

**System information** - Have I written custom code (as opposed to using a stock example script provided in TensorFlow.js): [This repo](https://github.com/tornikeo/tfjs-bad-conversion) contains all the reproducible code. In a nutshell, here...

type:bug

### Describe the bug Pet dinos with elephant bodytype can't be equipped with chitin elephant armor. ### Steps to reproduce 1. Tame mon_parasaurolophus, with bodytype "elephant". 2. Craft chitin elephant...

Good First Issue
(S2 - Confirmed)
[JSON]
Mods: Dinomod

Fixes the error caused by NVIDIA CUDA repo key rotation. Solution is based on this issue thread on [nvidia container repo](https://github.com/NVIDIA/nvidia-container-toolkit/issues/258). # Before ```bash Step 7/18 : ENV CMAKE_PREFIX_PATH="$(dirname $(which...

# Fixes an annoying typo in docs Fixes Annoying typo in docs - "Therefor" -> "Therefore". It's so annoying to read that I just had to make this PR.

lgtm

#### Summary Content "Add controllable camera drones to game" #### Purpose of change To make bird mutants seethe. And also to be able to scan your environment with these things....

<Documentation>
[JSON]
Vehicles
Items: Battery / UPS
Spawn
Code: Tests
[C++]
[Markdown]
stale

### Description There is no dicumentation on how CuPy works, end-to-end. Explanations for... - How does the translation of Python function to cuda `__global__` function occur? - What happens with...

cat:document
prio:medium

I made a notebook for dalle-mini inference. See it [on kaggle](https://www.kaggle.com/code/tornikeonoprishvili/dalle-mini-inference-sample-with-jax). ![image](https://user-images.githubusercontent.com/56438982/178545385-d42a5001-fac6-4fc7-8050-3c563c6c05ad.png) Happy hacking!

**Is your feature request related to a problem? Please describe.** I'm working with the recent [DreaMS](https://github.com/roman-bushuiev/DreaMS) paper, and I find the LSH approach to cluster mass-spectra on the scale of...

**Describe the bug** For some odd reason, adding default values to keyword args to `@njit`-decorated functions results in **20x** slowdowns in frequently used functions, like `collect_peak_pairs`. Further optimizations can bring...

**Is your feature request related to a problem? Please describe.** Using Numpy matmul for some vector similarity functions, instead of `@njit`, can speed up processing from ``` CPU times: user...