etarakci-hvl Goto Github PK
Type: User
Bio: A Collection of Learning Algorithms Including Applications of Behavioral Prediction and Path Planning.
etarakci-hvl's Projects
fold
Deep learning with dynamic computation graphs in TensorFlow
gan
Tooling for GANs in TensorFlow
gaussian-mixture-models
Gaussian Mixture Model (GMM) and Gaussian Mixture Regression (GMR) implemented purely on numpy
graph-wavenet
graph wavenet
graph_nets
Build Graph Nets in Tensorflow
grips
Gradient-Informed Path Smoothing for Wheeled Mobile Robots (GRIPS)
hanabi-learning-environment
hanabi_learning_environment is a research platform for Hanabi experiments.
haskell
Haskell bindings for TensorFlow
highway-env
An environment for autonomous driving decision-making
hyperparameter-optimization
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
imitation
Code for the paper "Generative Adversarial Imitation Learning"
infer
The code & datasets for the paper INFER: INtermediate representations for FuturE pRediction
inverse-reinforcement-learning
Implementations of selected inverse reinforcement learning algorithms.
inverse_rl
Adversarial Imitation Via Variational Inverse Reinforcement Learning
irl-imitation
Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
irl_rocks
Cool Inverse Reinforcement Learning Papers
katib
Repository for hyperparameter tuning
keras
Deep Learning for humans
keras-gp
Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
keras-lstm-trajectory-prediction
A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting
keras-tuner
Hyperparameter tuning for humans
kerneltrajectorymaps
Kernel Trajectory Maps CoRL 2019
lab
A customisable 3D platform for agent-based AI research
labmaze
A standalone release of DeepMind Lab's maze generator with Python bindings.
learning-to-drive-in-5-minutes
Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes
lucid
A collection of infrastructure and tools for research in neural network interpretability.
machine-learning-mindmap
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
machine_learning_examples
A collection of machine learning examples and tutorials.
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
matlab-rrt-variants
RRT*, RRT-connect, lazy RRT and RRT extend have been implemented for 2d and 3d c-spaces with visualization
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.