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Saikiran Kannaiah's Projects

obstacle_avoidance_astar icon obstacle_avoidance_astar

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

papers-we-love icon papers-we-love

Papers from the computer science community to read and discuss.

prednet_pytorch icon prednet_pytorch

A pytorch reimplement of PredNet, which is a deep recurrent convolutional neural network for video prediction and unsupervised learning.

predrnn-pytorch icon predrnn-pytorch

Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.

pytorch-image-models icon pytorch-image-models

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

pytorch-playground icon pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

pytorch-seq2seq icon pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

pytorch-transformers icon pytorch-transformers

👾 A library of state-of-the-art pre-trained models for Natural Language Processing (NLP)

racingworld icon racingworld

:boom: A multiplayer online 3D game about racing :boom:

rd icon rd

setting up of different libraries on the remote server

srip19_selfdriving icon srip19_selfdriving

Multiple driving action prediction model using Faster-RCNN and object-centric network.

stock-prediction-models icon stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

tensorflow_tutorials_cs20 icon tensorflow_tutorials_cs20

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.

timeseries_seq2seq icon timeseries_seq2seq

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.

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