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Name: Saikiran Kannaiah
Type: User
Location: Bonn, Germany
Name: Saikiran Kannaiah
Type: User
Location: Bonn, Germany
A simple Reinforcement Learning Demo for Obstacle Avoidance of using Microsoft AirSim
Used Hough Planes to convert 3D obstacles into a 2D grid. Used A Star algorithm to find optimal path from Start point to Goal point. Also planned to incorporate an A-Star algorithm for a 3D point cloud map which we get by running SLAM on Turtlebot in the Robotics Realization Lab, UMD, CP
Autonomous Obstacle Avoidance Robot ROS + GAZEBO
Learn machine learning for free, because free is better than not-free.
Papers from the computer science community to read and discuss.
A pytorch reimplement of PredNet, which is a deep recurrent convolutional neural network for video prediction and unsupervised learning.
Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.
Some important tips as well as algorithms and data structures practice with python
Minicourse in Deep Learning with PyTorch
Collection of generative models in Pytorch version.
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
👾 A library of state-of-the-art pre-trained models for Natural Language Processing (NLP)
:boom: A multiplayer online 3D game about racing :boom:
setting up of different libraries on the remote server
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Sentence Embeddings with BERT & XLNet
Multiple driving action prediction model using Faster-RCNN and object-centric network.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
This repository has jupyter notebooks for CS20 (tensorflow for research), since CS20 has jsut .py files. This repository makes the tensorflow tutorial of CS20 notebook friendly.
self-driving MarioKart with TensorFlow
testing hypothesis
TensorFlow models accelerated with NVIDIA TensorRT
This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.
Stochastic Adversarial Video Prediction
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.