Transformer-ocrHandwritten text recognition using transformers.
Stars: ✭ 92 (+240.74%)
carla-colabHow to run CARLA simulator on colab
Stars: ✭ 81 (+200%)
simple-playgroundsSimulator for Reinforcement Learning and AI. 2D environments with physics and interactive entities. Agents with rich sensors and actuators.
Stars: ✭ 18 (-33.33%)
SRGAN-Keras-ImplementationPhoto Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
Stars: ✭ 25 (-7.41%)
blender-colabRender Blender 3.x and 2.9x scenes with Google Colaboratory
Stars: ✭ 78 (+188.89%)
magicalThe MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)
Stars: ✭ 60 (+122.22%)
DA-RetinaNetOfficial Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'
Stars: ✭ 31 (+14.81%)
pyunityA pure Python 3D Game Engine that was inspired by the structure of the Unity Game Engine
Stars: ✭ 187 (+592.59%)
self-driving-carImplementation of the paper "End to End Learning for Self-Driving Cars"
Stars: ✭ 54 (+100%)
Trendr AppTwitter Trends history explorer app. Trending topics can be explored by date and location. Backend served with Lambda Function (NodeJS) from AWS. Frontend made with VueJS. Twitter API queried with a Python script from Google Colab. MongoDB database.
Stars: ✭ 17 (-37.04%)
avatars4allLive real-time avatars from your webcam in the browser. No dedicated hardware or software installation needed. A pure Google Colab wrapper for live First-order-motion-model, aka Avatarify in the browser. And other Colabs providing an accessible interface for using FOMM, Wav2Lip and Liquid-warping-GAN with your own media and a rich GUI.
Stars: ✭ 187 (+592.59%)
TF RLEagerly Experimentable!!!
Stars: ✭ 22 (-18.52%)
modelicagymModelica models integration with Open AI Gym
Stars: ✭ 53 (+96.3%)
bark-mlGym environments and agents for autonomous driving.
Stars: ✭ 68 (+151.85%)
rlss-2019Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).
Stars: ✭ 79 (+192.59%)
digit recognizerCNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).
Stars: ✭ 27 (+0%)
SNACSimultaneous Navigation and Construction
Stars: ✭ 13 (-51.85%)
ZeroSimROSUnityRobotic simulation in Unity with ROS integration.
Stars: ✭ 112 (+314.81%)
FlashRLNo description or website provided.
Stars: ✭ 25 (-7.41%)
UnityMLEssentialsVarious examples of ml-agents while teaching concepts about it in YouTube
Stars: ✭ 94 (+248.15%)
MineColabRun Minecraft Server on Google Colab.
Stars: ✭ 135 (+400%)
Any-file-to-Google-DriveThis Google Colab notebook will help you download any file directly to Google Drive with the help of the JDownloader web interface
Stars: ✭ 47 (+74.07%)
ActiveRagdollControllersResearch into controllers for 2d and 3d Active Ragdolls (using MujocoUnity+ml_agents)
Stars: ✭ 30 (+11.11%)
Pontryagin-Differentiable-ProgrammingA unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.
Stars: ✭ 111 (+311.11%)
realantRealAnt robot platform for low-cost, real-world reinforcement learning
Stars: ✭ 40 (+48.15%)
rlberryAn easy-to-use reinforcement learning library for research and education.
Stars: ✭ 124 (+359.26%)
multi car racingAn OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.
Stars: ✭ 58 (+114.81%)
TF2DeepFloorplanTF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.
Stars: ✭ 98 (+262.96%)
UiwidgetsUIWidget is a Unity Package which helps developers to create, debug and deploy efficient, cross-platform Apps.
Stars: ✭ 1,901 (+6940.74%)
NakamaDistributed server for social and realtime games and apps.
Stars: ✭ 5,293 (+19503.7%)
coreIt is an open source voxel algorithms implementation for Unity Engine
Stars: ✭ 67 (+148.15%)
PlaneverbProject Planeverb is a CPU based real-time wave-based acoustics engine for games. It comes with an integration with the Unity Engine.
Stars: ✭ 22 (-18.52%)
YOLOv3-Cloud-TutorialEverything you need in order to get YOLOv3 up and running in the cloud. Learn to train your custom YOLOv3 object detector in the cloud for free!
Stars: ✭ 68 (+151.85%)
steam-stylegan2Train a StyleGAN2 model on Colaboratory to generate Steam banners.
Stars: ✭ 30 (+11.11%)
Torrents-to-Google-DriveThis is a Google Colab notebook with QBittorrent and Rclone, which can download torrents to Google Drive
Stars: ✭ 56 (+107.41%)
book-ml書籍「今すぐ試したい!機械学習・深層学習(ディープラーニング)画像認識プログラミングレシピ」のソースコードを配布するレポジトリです。
Stars: ✭ 29 (+7.41%)
neptune-examplesExamples of using Neptune to keep track of your experiments (maintenance only).
Stars: ✭ 22 (-18.52%)
udacity-fsndUdacity Full Stack Web Developer Nanodegree program (FSND) course materials
Stars: ✭ 66 (+144.44%)
Deep-Learning-with-GoogleColabDeep Learning Applications (Darknet - YOLOv3, YOLOv4 | DeOldify - Image Colorization, Video Colorization | Face-Recognition) with Google Colaboratory - on the free Tesla K80/Tesla T4/Tesla P100 GPU - using Keras, Tensorflow and PyTorch.
Stars: ✭ 63 (+133.33%)
FootballCheck out the new game server:
Stars: ✭ 2,843 (+10429.63%)
sharpesharpe is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinforcement learning) in the context of quantitative trading
Stars: ✭ 33 (+22.22%)
vsrl-frameworkThe Verifiably Safe Reinforcement Learning Framework
Stars: ✭ 42 (+55.56%)
gym-hybridCollection of OpenAI parametrized action-space environments.
Stars: ✭ 26 (-3.7%)
AI4UAI4U is a multi-engine plugin (Unity and Godot) that allows you to specify agents with reinforcement learning visually. Non-Player Characters (NPCs) of games can be designed using ready-made components. In addition, AI4U has a low-level API that allows you to connect the agent to any algorithm made available in Python by the reinforcement learni…
Stars: ✭ 34 (+25.93%)