n-kats's Stars
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
streamlit/streamlit
Streamlit — A faster way to build and share data apps.
google-research/google-research
Google Research
xyflow/xyflow
React Flow | Svelte Flow - Powerful open source libraries for building node-based UIs with React (https://reactflow.dev) or Svelte (https://svelteflow.dev). Ready out-of-the-box and infinitely customizable.
mozilla/DeepSpeech
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
AtsushiSakai/PythonRobotics
Python sample codes for robotics algorithms.
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
rjsf-team/react-jsonschema-form
A React component for building Web forms from JSON Schema.
google-deepmind/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
google-deepmind/sonnet
TensorFlow-based neural network library
IntelRealSense/librealsense
Intel® RealSense™ SDK
jason718/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
tensorflow/tpu
Reference models and tools for Cloud TPUs.
google-deepmind/acme
A library of reinforcement learning components and agents
strasdat/Sophus
C++ implementation of Lie Groups using Eigen.
tkipf/gae
Implementation of Graph Auto-Encoders in TensorFlow
pcbje/ggraph
Graph visualization of big messy data
google-deepmind/reverb
Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research
greydanus/hamiltonian-nn
Code for our paper "Hamiltonian Neural Networks"
iml-wg/HEP-ML-Resources
Listing of useful learning resources for machine learning applications in high energy physics (HEPML)
dbusbridge/gcn_tutorial
A tutorial on Graph Convolutional Neural Networks
Ripser/ripser
Ripser: efficient computation of Vietoris–Rips persistence barcodes
masahitotogami/python_source_separation
「Pythonで学ぶ音源分離」のソースコード
youtalk/get-started-ros2
書籍「ROS2ではじめよう 次世代ロボットプログラミング」オンラインリソース
Mishima-syk/psikit
psi4+RDKit
huangwb/AS-GCN
tensorflow-as-gcn
luetge/flagser
Computing homology of directed flag complexes (based on https://github.com/Ripser/ripser). Online version: https://homepages.abdn.ac.uk/neurotopology/flagser.html
mlnagoya/surveys
機械学習名古屋勉強会 研究会用リポジトリ
Miura55/chatgptbot-handson
ChatGPTをLINE botで触るハンズオン
kurusugawa-computer/nextcloud-cli
NextCloud の CLI