GitHub30

Awesome-Gemini-Robotics

Curated, community-maintained gallery of Gemini Robotics-ER 1.5 examples and prompts, ready to reuse in your own robotics/embodied AI projects. Each entry includes a representative image (or placeholder) and a JSON-friendly prompt. Gemini Robotics-ER 1.5 is Google’s state-of-the-art embodied reasoning model, excelling in spatial understanding (poi

extend-vps-exp

gdrive.sh

Download a file or a folder easily. curl gdrive.sh | bash -s $fileid

googleplay-api

wget https://apks.deta.dev/com.pixel.gun3d.apk # Download apk

pichromecast

Library for MicroPython to communicate with the Google Chromecast.

Sora2WatermarkRemover

Sora 2 Video Watermark Remover Free

toast-notification-examples

Toast notification examples for PowerShell

win11toast

Toast notifications for Windows 10 and 11 based on WinRT

winocr

GitHub30/dataMatrix.js

Data Matrix Writer in Browser

GitHub30/asyncQuerySelector

GitHub30/gym3

Vectorized interface for reinforcement learning environments

GitHub30/buildpacks

Builders and buildpacks designed to run on Google Cloud's container platforms

GitHub30/data-science-stack

NVIDIA Data Science stack tools

GitHub30/deep-verify

GitHub30/DoodlerGAN

AI models that can doodle/sketch

GitHub30/dqn_zoo

GitHub30/fonts

:abc: A collection of 100% actually free open source fonts!

GitHub30/High-res-disentanglement-datasets

Datasets for new state-of-the-art challenge in disentanglement learning

GitHub30/lag

GitHub30/meta_seq2seq

Compositional generalization through meta sequence-to-sequence learning

GitHub30/motion_imitation

Code accompanying the paper "Learning Agile Robotic Locomotion Skills by Imitating Animals"

GitHub30/noisystudent

Code for the paper "Self-training with Noisy Student improves ImageNet classification"

GitHub30/Pandas_100_knocks

This is a content file for "Pandas 100 Knocks".

GitHub30/pddm

GitHub30/Permutation-Equivariant-Seq2Seq

Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for natural language modeling fail when such compositional generalization is required. The main contribution of this paper is to hypothesize that language compositionality is a form of group-equivariance. Based on this hypothesis, we propose a set of tools for constructing equivariant sequence-to-sequence models. Throughout a variety of experiments on the SCAN tasks, we analyze the behavior of existing models under the lens of equivariance, and demonstrate that our equivariant architecture is able to achieve the type compositional generalization required in human language understanding.

GitHub30/phalpine

phalconphp framework minimum docker image.

GitHub30/phosa

Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild

GitHub30/rlax

GitHub30/rmac

Robust Multi-Agent Counterfactual Prediction

GitHub30/serve

Model Serving on PyTorch

GitHub30/SimpleHTTPServerWithUpload

Simple HTTP Server With Upload written in Python 3

GitHub30/skywater-pdk

Open source process design kit for usage with SkyWater Technology Foundry's 130nm node.

GitHub30/sound-separation

GitHub30/stylegan2-ada

StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation

GitHub30/tesseract-1

Tesseract Open Source OCR Engine (main repository)

GitHub30/text-to-text-transfer-transformer

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

GitHub30/weakly_supervised_control

GitHub30/wsd-biencoders

Experiment code for the ACL 2020 paper "Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders".