3,524 skills found · Page 1 of 118
dnhkng / GLaDOSThis is the Personality Core for GLaDOS, the first steps towards a real-life implementation of the AI from the Portal series by Valve.
jaungiers / LSTM Neural Network For Time Series PredictionLSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
absolute-quantum / Cats Blender Plugin:smiley_cat: A tool designed to shorten steps needed to import and optimize models into VRChat. Compatible models are: MMD, XNALara, Mixamo, DAZ/Poser, Blender Rigify, Sims 2, Motion Builder, 3DS Max and potentially more
barbagroup / CFDPythonA sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
hua1995116 / Indiehackers Steps《独立开发者的艺术》打造最全的独立开发者指南，一人公司。
jfeinstein10 / JazzyViewPagerAn easy to use ViewPager that adds an awesome set of custom swiping animations. Just change your ViewPagers to JazzyViewPagers, two more steps, and you're good to go!
Jay-Goo / RangeSeekBarA beautiful and powerful SeekBar what supports single、 range、steps、vetical、custom（ 一款美观强大的支持单向、双向范围选择、分步、垂直、高度自定义的SeekBar)
agmmnn / Tauri Ui🦀 Create modern Tauri desktop apps in just a few simple steps with shadcn/ui. React, Next.js, Sveltekit.
LuChengTHU / Dpm SolverOfficial code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
rstaib / Jquery StepsA powerful jQuery wizard plugin that supports accessibility and HTML5.
facebookresearch / Higherhigher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
damianricobelli / StepperizeA type safe library for building step-by-steps workflows
gcorso / DiffDockImplementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
zsyOAOA / InvSRArbitrary-steps Image Super-resolution via Diffusion Inversion (CVPR 2025)
VinceG / Twitter Bootstrap WizardThis twitter bootstrap plugin builds a wizard out of a formatter tabbable structure. It allows to build a wizard functionality using buttons to go through the different wizard steps and using events allows to hook into each step individually.
panaverse / Learn TypescriptLearning TypeScript in Baby Steps
anton46 / Android StepsViewAndroid-StepsView
facebookresearch / SvoiceWe provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers.
WillKoehrsen / Machine Learning Project WalkthroughAn implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
email-spec / Email SpecCollection of RSpec/MiniTest matchers and Cucumber steps for testing email in a ruby app using ActionMailer or Pony
