Highlights
- Pro
Stars
Paper Reading in Neural Emergent Communication Literature
Game theory: Dominant Strategy detection
kUSHAL0601 / multi-agent-emergence-environments
Forked from openai/multi-agent-emergence-environmentsEnvironment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"
Framework developed to generate Videos helpful for online lectures as part of SigmaHacks3
Convert Machine Learning Code Between Frameworks
An ongoing list of pandas quirks
ImageNet dataset downloader. Creates a custom dataset by specifying the required number of classes and images in a class.
A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!
Data science interview questions with answers. Not ideally (yet)
A repo for data science related questions and answers
🌀 building the next-gen watermark with deep learning.
TensorFlow Exercises - focusing on the comparison with NumPy.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
One Shot Damage diagnosis through LSTM based network.
🤖 Places where you can learn robotics (and stuff like that) online 🤖
100 days of ML code challenge
UCL MSc Computational Statistics and Machine Learning Revision Notes
Reinforcement learning course at Data Science Retreat
A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning agents!
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
SenseNet is a sensorimotor and touch simulator for deep reinforcement learning research
This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"
RLgraph: Modular computation graphs for deep reinforcement learning
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.