palladiun Goto Github PK
Name: Pramod Sivaram Kaushik
Type: User
Company: IIIT Hyderabad
Name: Pramod Sivaram Kaushik
Type: User
Company: IIIT Hyderabad
🧠 Implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan), reinforcement learning (ppo, dqn), capsnet, sketch-rnn, etc.
Code and dataset for the paper "Using Dynamic Neural Networks to Model the Speed-Accuracy Trade-Off in People"
[CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
Deep reinforcement learning-basedskill transfer and composition method
Continual reinforcement learning baselines: experiment specifications, implementation of existing methods, and common metrics. Easily extensible to new methods.
Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".
Benchmark for Lifelong learning research
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Learning Invariant Representations for Reinforcement Learning without Reconstruction
This repository contains implementations and illustrative code to accompany DeepMind publications
Boilerplate for Deep Learning Projects
Flexible modulation of sequence generation in the entorhinal-hippocampal system.
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
A guidance language for controlling large language models.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
A customisable 3D platform for agent-based AI research
⚡ Building applications with LLMs through composability ⚡
A framework to enable multimodal models to play games on a computer.
References on Optimal Control, Reinforcement Learning and Motion Planning
Jupyter Notebooks for the Python Data Science Handbook
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Reinforcement Learning examples implementation and explanation
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.