Saikiran Kannaiah (SaikiranKannaiah436)

SaikiranKannaiah436

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Location:Bonn, Germany

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Saikiran Kannaiah's repositories

argoverse-forecasting

Official Repository for Argoverse Motion Forecasting Baselines

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argoverse_baselinetracker

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

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Awesome-Interaction-aware-Trajectory-Prediction

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

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awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

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Computer-Vision-Video-Lectures

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

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cs-video-courses

List of Computer Science courses with video lectures.

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CS224n-2019-solutions

Complete solutions for Stanford CS224n, winter, 2019

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CS224N-Stanford-Winter-2019

The collection of ALL relevant materials about CS224N-Stanford/Winter 2019 course. THANKS TO THE PROFESSOR AND TAs! 斯坦福大学CS224N 【2019】课程的【所有】相关的资料。感谢Chris Manning教授和Abigail See,感谢所有助教!

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Deep-Tutorials-for-PyTorch

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

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fastai

The fastai deep learning library, plus lessons and tutorials

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hiddenlayer

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

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Learn_Computer_Vision

This is the curriculum for "Learn Computer Vision" by Siraj Raval on Youtube

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livelossplot

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

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machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

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modern-cpp-features

A cheatsheet of modern C++ language and library features.

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moviegeek

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

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nlp-datasets

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

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NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

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PredNet_pytorch

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

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predrnn-pytorch

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

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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

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pytorch-transformers

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

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Real-Time-Voice-Cloning

Clone a voice in 5 seconds to generate arbitrary speech in real-time

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sentence-transformers

Sentence Embeddings with BERT & XLNet

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SRIP19_SelfDriving

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

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Stock-Prediction-Models

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

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video_prediction

Stochastic Adversarial Video Prediction

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xlnet

XLNet: Generalized Autoregressive Pretraining for Language Understanding

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