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ml-lab's Projects

bert-as-service icon bert-as-service

Mapping a variable-length sentence to a fixed-length vector using pretrained BERT model

beta-tcvae icon beta-tcvae

code for "Isolating Sources of Disentanglement in Variational Autoencoders".

bgm icon bgm

Boosted Generative Models

bgscnn icon bgscnn

Background subtraction using deep learning method.

bicyclegan icon bicyclegan

[NIPS 2017] Toward Multimodal Image-to-Image Translation

bidding-machine icon bidding-machine

An implementation of the TKDE paper "Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising"

bidmach icon bidmach

CPU and GPU-accelerated Machine Learning Library

big-bench icon big-bench

Beyond the Imitation Game collaborative benchmark for enormous language models

bigbatch icon bigbatch

Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training of neural networks"

bigdl icon bigdl

BigDL: Distributed Deep learning Library for Apache Spark

biggan-pytorch icon biggan-pytorch

Pytorch implementation of LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS (BigGAN)

bihm icon bihm

Bidirectional Helmholtz Machines

bilateralnn icon bilateralnn

Learning Sparse High Dimensional Filters with Neural Networks

bilinear-cnn icon bilinear-cnn

PyTorch implementation of bilinear CNN for fine-grained image recognition

bimpm icon bimpm

BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences

binary-human-pose-estimation icon binary-human-pose-estimation

This code implements a demo of the Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources paper by Adrian Bulat and Georgios Tzimiropoulos.

binarynet icon binarynet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

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