Saikiran Kannaiah (SaikiranKannaiah436)

SaikiranKannaiah436

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Location:Bonn, Germany

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Saikiran Kannaiah's starred repositories

sentence-transformers

State-of-the-Art Text Embeddings

Language:PythonLicense:Apache-2.0Stargazers:15163Issues:141Issues:2175

Stock-Prediction-Models

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

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:8009Issues:382Issues:125

nlp-datasets

Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)

pytorch-generative-model-collections

Collection of generative models in Pytorch version.

hiddenlayer

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

Language:PythonLicense:MITStargazers:1794Issues:44Issues:89

Deep-Tutorials-for-PyTorch

In-depth tutorials for implementing deep learning models on your own with PyTorch.

Awesome-Interaction-Aware-Trajectory-Prediction

A selection of state-of-the-art research materials on trajectory prediction

Language:TeXLicense:MITStargazers:1466Issues:62Issues:0

livelossplot

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

Language:PythonLicense:MITStargazers:1294Issues:28Issues:78

moviegeek

A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.

Language:PythonLicense:MITStargazers:903Issues:54Issues:50

Fast-SRGAN

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

Language:PythonLicense:MITStargazers:669Issues:18Issues:36

deeplearning4nlp-tutorial

Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP)

Language:PythonLicense:Apache-2.0Stargazers:634Issues:83Issues:3

CS224n-2019-solutions

Complete solutions for Stanford CS224n, winter, 2019

generative-models

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Language:Jupyter NotebookLicense:MITStargazers:499Issues:16Issues:3

predrnn-pytorch

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

Computer-Vision-Video-Lectures

A curated list of free, high-quality, university-level courses with video lectures related to the field of Computer Vision.

License:CC0-1.0Stargazers:366Issues:12Issues:0

video_prediction

Stochastic Adversarial Video Prediction

Language:PythonLicense:MITStargazers:303Issues:16Issues:47

argoverse-forecasting

Official Repository for Argoverse Motion Forecasting Baselines

Language:PythonLicense:BSD-3-Clause-ClearStargazers:250Issues:7Issues:22

multihead-siamese-nets

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

Language:Jupyter NotebookLicense:MITStargazers:182Issues:9Issues:16

download-celebA-HQ

Python script to download the celebA-HQ dataset from google drive

Language:Jupyter NotebookStargazers:139Issues:2Issues:18

word2vec-tsne

Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.

Language:Jupyter NotebookStargazers:76Issues:1Issues:1

Multiple-Object-Forecasting

Multiple Object Forecasting: Predicting Future Object Locations in Diverse Environments. WACV, 2020

Language:PythonLicense:MITStargazers:61Issues:8Issues:27

argoverse_baselinetracker

Baseline tracker code release for the paper Argoverse: 3D Tracking and Forecasting With Rich Maps, CVPR 2019.

Language:PythonLicense:MITStargazers:52Issues:2Issues:1

frame-predict-VAE-LSTM

Predicting image frames using autoencoder and LSTM

AA120Q

AA120Q Course Materials

PredNet_pytorch

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

Language:PythonLicense:MITStargazers:28Issues:3Issues:3

Dynamic-Trajectory-Predictor

Forecasting Pedestrian Trajectory with Machine-Annotated Training Data. IV, 2019

learn_NLP_again

Solutions and algorithms for Speech and Language Processing (3rd ed. draft)

Language:TeXLicense:MITStargazers:12Issues:2Issues:0

SRIP19_SelfDriving

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

Language:Jupyter NotebookStargazers:8Issues:2Issues:0

word_embeddings_hp

Training and exploring Word2Vec and FastText on Harry Potter books corpus

Language:Jupyter NotebookStargazers:3Issues:2Issues:0