atom2-source's Stars
meta-quest/Meta-Spatial-SDK-Samples
The Meta Spatial SDK Samples is a collection of code samples and projects that demonstrate the capabilities of the Meta Spatial SDK. Meta Spatial SDK enables mobile developers to build Meta Horizon OS experiences using familiar Android languages, tools, and libraries.
facebook/proxygen
A collection of C++ HTTP libraries including an easy to use HTTP server.
StereoKit/StereoKit
An easy-to-use XR engine for building AR and VR applications with C# and OpenXR!
jasonmayes/doesVideoContain
maluoi/SKARCore
Minimal example of using ARCore with StereoKit
katanaml/sparrow
Data processing with ML and LLM
atom2-source/stereokit-kotlin
stereokit kotlin bindings for mixed reality
hacksider/Deep-Live-Cam
real time face swap and one-click video deepfake with only a single image
NVlabs/InstantSplat
InstantSplat: Sparse-view SfM-free Gaussian Splatting in Seconds
lucidrains/PEER-pytorch
Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind
facebookresearch/ocean
Ocean is the in-house framework for Computer Vision (CV) and Augmented Reality (AR) applications at Meta. It is platform independent and is mainly implemented in C/C++.
ktorio/ktor
Framework for quickly creating connected applications in Kotlin with minimal effort
terrakok/kmp-awesome
An awesome list that curates the best Kotlin Multiplatform libraries, tools and more.
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Kotlin/kotlinx.serialization
Kotlin multiplatform / multi-format serialization
SunitRoy2703/Tensorflow-lite-kotlin-samples
📌This repo contains the kotlin implementation of TensorflowLite Example Android Apps🚀
XRSharp/XRSharpSamplesGallery
This app demonstrates some of the XR# SDK functionality to code WebXR-powered 3D, VR, and AR apps using .NET, C#, and XAML. To learn more about XR#, visit: https://xrsharp.io
shubham0204/Realtime_MiDaS_Depth_Estimation_Android
Monocular Depth Estimation using MiDaS in Android
LiheYoung/Depth-Anything
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
jonbarron/camp_zipnerf
python/cpython
The Python programming language
DLR-RM/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
google-deepmind/acme
A library of reinforcement learning components and agents
google/dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
pfnet/pfrl
PFRL: a PyTorch-based deep reinforcement learning library
alexlee-gk/visual_dynamics
Learning visual servoing with deep features and fitted Q-iteration
ageron/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
alexhiggins732/SharpDesktopGym
SharpDesktopGym uses CSharp environments for interaction with Python TensorFlow Agents.
agnigb/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications