riturajkaushik Goto Github PK
Name: Rituraj Kaushik
Type: User
Company: Aalto University
Bio: AI Scientist at Silo AI, Finland
Location: Helsinki, Finland
Blog: www.riturajkaushik.ml
Name: Rituraj Kaushik
Type: User
Company: Aalto University
Bio: AI Scientist at Silo AI, Finland
Location: Helsinki, Finland
Blog: www.riturajkaushik.ml
implement some algorithms of 6d pose estimation
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
simplified robot description of the ANYmal B quadrupedal robot
Code for the Reset-free Trial and Error learning paper (RTE) experiments
A pytorch implementation of what is described by hardmaru: http://blog.otoro.net/2016/04/01/generating-large-images-from-latent-vectors/
Producing Random Patterns with Compositional Pattern Producing Networks
A collection of various deep learning architectures, models, and tips
PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning
Class Project for Foundations of Computer Science II: Python Grammar Checking Program for English using Constituency Parse Tree
Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
Example gazebo ardupilot simulation package
Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning
Machine learning, in numpy
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
A python binding of Dart, an open source simulation package
Python library to parse SDF into class hierarchy and export URDF
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
PyTorch implementations of algorithms for density estimation
A lightweight and flexible framework for Hebbian learning in PyTorch.
PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400
Object detection in images, and tracking across video frames
Quick and dirty path planning algorithms in python
RealAnt robot platform for low-cost, real-world reinforcement learning
Reinforcement learning with RealAnt: an open-source low-cost quadruped
Best Practices on Recommendation Systems
Modular implementations of reinforcement learning algorithms with PyTorch
🎨 Simplistic, responsive jekyll based open source theme
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
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.