qwertyinsomnia

qwertyinsomnia's Stars

• ddbourgin/numpy-ml

  Machine learning, in numpy

  Language:Python14.8k3.7k

• OpenInterpreter/open-interpreter

  A natural language interface for computers

  Language:Python50.6k4.4k

• ROBOTIS-GIT/open_manipulator_p

  OpenManipulator-P for controlling in Gazebo and Moveit with ROS

  Language:C++4120

• bradtraversy/50projects50days

  50+ mini web projects using HTML, CSS & JS

  Language:CSS35.1k8.8k

• meituan/YOLOv6

  YOLOv6: a single-stage object detection framework dedicated to industrial applications.

  Language:Jupyter Notebook5.6k1k

• alexklwong/unsupervised-depth-completion-visual-inertial-odometry

  Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

  Language:Python18523

• AutoPiano/AutoPiano

  🎹 自由钢琴 AutoPiano - Simple & Elegant Piano Online

  Language:JavaScript5.9k973

• daizhirui/BEVNet

  Official Repository of ICCV2021 Paper, BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning

  Language:Python207

• scottbez1/smartknob

  Haptic input knob with software-defined endstops and virtual detents

  Language:C++18.5k1.1k

• lutzroeder/netron

  Visualizer for neural network, deep learning and machine learning models

  Language:JavaScript26.8k2.7k

• TachibanaYoshino/AnimeGAN

  A Tensorflow implementation of AnimeGAN for fast photo animation ! This is the Open source of the paper 「AnimeGAN: a novel lightweight GAN for photo animation」, which uses the GAN framwork to transform real-world photos into anime images.

  Language:Python4.4k659

• tsherif/space-shooter.c

  A cross-platform, top-down 2D space shooter written in C using only platform libraries.

  Language:C1.3k75

• CleverRaven/Cataclysm-DDA

  Cataclysm - Dark Days Ahead. A turn-based survival game set in a post-apocalyptic world.

  Language:C++9.9k4.1k

• sunflower-land/sunflower-land

  Language:TypeScript1.5k592

• yifeikong/reverse-interview-zh

  技术面试最后反问面试官的话

  16.9k1.3k

• obss/sahi

  Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

  Language:Python3.8k564

• marceloprates/prettymaps

  A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

  Language:Jupyter Notebook11k515

• LazoCoder/Pokemon-Terminal

  Pokemon terminal themes.

  Language:Python4.2k224

• sejaldua/map-network-viz

  A small wrapper for visualizing street networks and making artistic maps with OpenStreetMap and Networkx

  Language:Python126

• jiang-du/BlazePose-tensorflow

  A third-party Tensorflow Implementation for paper "BlazePose: On-device Real-time Body Pose tracking".

  Language:Python11124

• vietanhdev/tf-blazepose

  BlazePose - Super fast human pose detection on Tensorflow 2.x

  Language:Python19238

• carolineec/EverybodyDanceNow

  Motion Retargeting Video Subjects

  Language:Python673137

• nextui-org/nextui

  🚀 Beautiful, fast and modern React UI library.

  Language:TypeScript20.4k1.2k

• imLogM/Deep_Learning_AndrewNg

  Homework of Andrew Ng's "Deep Learning" course in Coursera

  Language:Jupyter Notebook4215

• PeterL1n/BackgroundMattingV2

  Real-Time High-Resolution Background Matting

  Language:Python6.7k948

• eti-p-doray/unet-gan-matting

  Background Removal based on U-Net

  Language:Python29382

• nyoki-mtl/pytorch-EverybodyDanceNow

  Implementation of Everybody Dance Now by pytorch

  Language:Jupyter Notebook892201

• google-ai-edge/mediapipe

  Cross-platform, customizable ML solutions for live and streaming media.

  Language:C++26.1k5k

• amanchadha/coursera-deep-learning-specialization

  Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

  Language:Jupyter Notebook2.8k2.1k

• dragen1860/TensorFlow-2.x-Tutorials

  TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

  Language:Jupyter Notebook6.4k2.2k