santhosh-ks Goto Github PK

pybullet_robots

Prototyping robots for PyBullet (F1/10 MIT Racecar, Sawyer, Baxter and Dobot arm, Boston Dynamics Atlas and Botlab environment)

pyrep

A toolkit for robot learning research.

pysyft

A library for encrypted, privacy preserving deep learning

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch-biggraph

Software used for generating embeddings from large-scale graph-structured data.

pytorch-cpp-rl

PyTorch C++ Reinforcement Learning

pytorch-ddpg-naf

Implementation of algorithms for continuous control (DDPG and NAF).

pytorch-fcn

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

pytorch-flask-api

pytorch-flask-api-heroku

pytorch-hessian-eigenthings

Efficient PyTorch Hessian eigendecomposition using the Hessian-vector product and stochastic power iteration

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more

pytorch-kaldi

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

pytorch-web-app-deploy-azure

pytorch.github.io

The website for PyTorch

pytorch_cpp_experiments

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

realitykit-presentation

A sample of some basic RealityKit things

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.

robb.swift

My personal website ported to Swift

roboticsystemsbook

A working draft of a free undergraduate robotics textbook, collected from lecture notes

rollingspideredu

Rolling Spider software package for Education

rosscripts

sagemaker-deployment

Code and associated files for the deploying ML models within AWS SageMaker

satellite-image-deep-learning

Resources for performing deep learning on satellite imagery

scene-representation-networks

Official Pytorch implementation of Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations