shubhampachori12110095 Goto Github PK

loggibud

Real-world benchmarks for urban delivery problems, including vehicle routing and facility location problems.

logic-rules-sentiment

Code and dataset for our EMNLP 2018 paper "Revisiting the Importance of Logic Rules in Sentiment Classification".

logicnn

logistic-mf

Logistic Matrix Factorization for Implicit Feedback Data. http://stanford.edu/~rezab/nips2014workshop/submits/logmat.pdf

logisticpca

Dimensionality reduction for binary data

logisticregression

Logistic regression from scratch in Python

loki

Proof-of-concept of emotion-targeted content delivery using machine learning and ARKit.

lol-neural-network

Using Tensorflow Neural Networks to predict whether a team composition will win or lose

long-range-arena

Long Range Arena for Benchmarking Efficient Transformers

long-range-extrapolation

Capturing Structure Implicitly from Noisy Time-Series having Limited Data

long-text-sumarizer

ML tool to summarize long text

longformer

Longformer: The Long-Document Transformer

longsword-stance-model-training

Longsword Stance Model Training Working demo: https://www.youtube.com/watch?v=v7hvOyPQ0EM Longsword Stance Model Training: Deep Learning model & training python scripts. The model is genenerated with Keras, as a multivariate Bidirectional Long-Short Term Memory (LSTM) network, for classification of longsword movement gestures. Softmax is being used as the activation function and sparse-categorical cross-entropy on the final dense layer

lookaheadfeature

TACL 2017

loop

A method to generate speech across multiple speakers

lost-in-interpretation

Code for "Lost in Interpretation: Predicting Untranslated Terminology in Simultaneous Interpretation" at NAACL 2019

lotterypredict

TensorFlow实战，使用LSTM预测彩票

lotteryprediction

:full_moon_with_face: Lottery prediction using GA+BF ANN+FL(GeneticAlogrithm+ArtificalNeuralNetwork+FuzzyLogicControl) based on SciPy/NumPy/matplotlib/R/SAS/TensorFlow/Keras

lovaszsoftmax

Code for the Lovász-Softmax loss (CVPR 2018)

low-shot-shrink-hallucinate

Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features

low-shot-with-diffusion

Low-shot learning with large-scale diffusion

lowrankmodels.jl

LowRankModels.jl is a julia package for modeling and fitting generalized low rank models.

lpo

Implementation of the CVPR 2015 paper: Learning to propose objects

lrp-for-garbage-collection

Two-Echelon Capacitated location-routing problem of Heterogeneous fleets

lsda

Large scale detection through adaptation

lsgan

This is the project for LS-GAN (Loss-Sensitive GAN)

lsgan-tf

Simple implementation of Least Squares Generative Adversarial Networks

lsh_memory

One-Shot Learning using Nearest-Neighbor Search (NNS) and Locality-Sensitive Hashing LSH

lsh_memory-1

One-Shot Learning using Nearest-Neighbor Search (NNS) and Locality-Sensitive Hashing LSH

lsm

Code for Learnt Stereo Machines based on the NIPS 2017 paper