Nikhil Singh's repositories

Language:Jupyter NotebookLicense:MITStargazers:0Issues:2Issues:0

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Language:PythonLicense:MITStargazers:0Issues:0Issues:0
Language:MATLABLicense:NOASSERTIONStargazers:0Issues:3Issues:0

casadi

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

Language:C++License:LGPL-3.0Stargazers:0Issues:0Issues:0
Language:SCSSLicense:MITStargazers:0Issues:1Issues:0

continuous_control-unitree-a1

⚗️ Synthesize 🧠 neural 🕸️networks to 🎮 control quadruped 🤖 robot 🐕 dog Unitree A1 with 💁 reinforcement 🤔 learning

Stargazers:0Issues:0Issues:0

CS253_TA

Slides and Code for the Python Lectures under CS253

Language:PythonStargazers:0Issues:0Issues:0

cs639-project

Project under CS639

Language:PythonStargazers:0Issues:2Issues:0
Language:HTMLStargazers:0Issues:2Issues:0

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

Language:Jupyter NotebookLicense:MITStargazers:0Issues:1Issues:0

Deep-Reinforcement-Learning-Algorithms

32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

Stargazers:0Issues:0Issues:0
Stargazers:0Issues:2Issues:0

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:1Issues:0

DL_PyTorch

Code for the Deep Learning with PyTorch lesson

License:MITStargazers:0Issues:0Issues:0

efficient-calibration-embedded-MPC

Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Bemporad

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

garage

A toolkit for reproducible reinforcement learning research.

License:MITStargazers:0Issues:0Issues:0

GPy

Gaussian processes framework in python

Language:PythonLicense:BSD-3-ClauseStargazers:0Issues:1Issues:0

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

gym

A toolkit for developing and comparing reinforcement learning algorithms.

Language:PythonLicense:NOASSERTIONStargazers:0Issues:1Issues:0

gym-jsbsim-f16

A reinforcement learning environment for aircraft control using the JSBSim flight dynamics model

License:MITStargazers:0Issues:0Issues:0

gymfc

A universal flight control tuning framework

License:MITStargazers:0Issues:0Issues:0
Language:HTMLLicense:MITStargazers:0Issues:0Issues:0

NeuralVerification.jl

Methods to soundly verify deep neural networks

Language:JuliaLicense:MITStargazers:0Issues:1Issues:0

pfrl

PFRL: a PyTorch-based deep reinforcement learning library

License:MITStargazers:0Issues:0Issues:0

PythonLinearNonlinearControl

PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.

Stargazers:0Issues:0Issues:0

Robot-Learning-From-Scratch

How to train a robot to learn skills from scratch

Language:PythonStargazers:0Issues:1Issues:0

SCoSyn

Specification Guided Controller Synthesis of CPS

Language:C++License:GPL-3.0Stargazers:0Issues:2Issues:0
Language:Jupyter NotebookLicense:MITStargazers:0Issues:1Issues:0
Language:C++License:GPL-3.0Stargazers:0Issues:1Issues:0

WoodFisher

Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)

Stargazers:0Issues:0Issues:0