Farkad Adnan's repositories
Hide-and-Seek
Through multi-agent competition, the simple goal of hide-and-seek and standardized augmentative learning algorithms on a large scale, we find that agents create a self-supervised approach that catalyses multiple distinct rounds of emerging strategy, many of which require sophisticated use and coordination of the tool. We find clear evidence of six emerging stages in the agent's strategy in our environment, each of which creates new pressure on the opposing team to adapt; For example, Agents learn to build multi-purpose shelters using moving boxes which in turn lead to Agents discovering that they can overcome obstacles using ramps. We also provide evidence that multi-agent competition may better expand with increasing environmental complexity and lead to behavior focused on more human-relevant skills than self-supervised reinforcement learning methods such as intrinsic motivation. Finally, we propose transfer and tuning as a method to quantitatively assess target abilities, and compare hide-and-seek factors with both intrinsic motivation and random baselines on a set of domain-specific IQ tests
Intelligent-UAV-layout-planning
Intelligent UAV path planning simulation system is a software with fine operation control, strong platform integration, omnidirectional model building and application automation. It takes the UAV war between A and B in Zone C as the background. The core function of the system is to plan the UAV route through the simulation platform and verify th…
Radio-FM-TEA5767
The TEA5767 is a cheap FM receiver that is controlled through the I2C bus.
SKU-SEN0291-Gravity-I2C-Digital-Wattmeter-SEN0291
Chapter 3 code_Project_78 The second part 2 of "The Arduino World Book" code_Project_78
All-Libraries-Arduino
A list of the 2351 libraries registered in the Arduino Library Manager.
Aptinex_DAC-master
code_experience_63
Arduino-LED
Turning on a LED using the Matlab environment with the Arduino
Body_Movement_Tracking
The is a camera-based body movement tracking system that uses motion silhouettes to estimate the amount a person moves from a video of the person engaged in a task.
code_experience_13
Motion and gestures detection with TPA81 sensor
code_Project_68
Chapter 3code_Project_68 The second part 2 of "The Arduino World Book" code_Project_68
code_Project_81-FastLED
Chapter 3 code_Project_81 The second part 2 of "The Arduino World Book" code_Project_81
code_Project_82-DS3231
Chapter 3 code_Project_82 The second part 2 of "The Arduino World Book" code_Project_82
code_Project_83-DS1307
Chapter 3 code_Project_83 The second part 2 of "The Arduino World Book" code_Project_83
code_Project_87-CD74HC4067
Chapter 3 code_Project_87 The second part 2 of "The Arduino World Book" code_Project_87
code_Project_88-74HC4051
Chapter 3 code_Project_88 The second part 2 of "The Arduino World Book" code_Project_88
DFRobot_PH-master
Arduino library for Gravity: Analog pH Sensor / Meter Kit V2, SKU: SEN0161-V2
fuzzy-system
A car simulator based on Python implements by fuzzy system.
Gravity-Analog-20A-current-sensor
Chapter 3 code_Project_75 The second part 2 of "The Arduino World Book" code_Project_75
GSR-Galvanic-Skin-Response-Sensor
Chapter 3 code_Project_80 The second part 2 of "The Arduino World Book" code_Project_80
Investment-ID-relationships
The objective of this notebook is too see if there are relationships between investment IDs using the historical targets through time
Project-Electronic-lock-with-keypad
Electronic lock with keypad
ProjectAiAi
AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charitable hospitals, and organizations like WHO 🌏 We will also release our pretrained models and weights as Medical Imagenet.
TFmini-Sensor
Arduino library for TFmini
Autopilot-TensorFlow
A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes
K-Type-Thermocouple-with-MAX-6675-Amplifier
Chapter 3 code_Project_79 The second part 2 of "The Arduino World Book" code_Project_79
python_dark_web
python_dark_web