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ml-lab's Projects

bopp icon bopp

BOPP: Bayesian Optimization for Probabilistic Programs

bottom-up-attention icon bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

box-convolutions icon box-convolutions

PyTorch code for the "Deep Neural Networks with Box Convolutions" paper

bpl icon bpl

Bayesian Program Learning model for one-shot learning

braindecode icon braindecode

A deep learning toolbox to decode raw time-domain EEG.

brainforge icon brainforge

A Neural Networking library based on NumPy only

brainth icon brainth

A deep-learning functional, idiomatic, neural-network in Clojure.

brats icon brats

Brain Tumor Segmentation using CNN

brits icon brits

Code of NIPS18 Paper: BRITS: Bidirectional Recurrent Imputation for Time Series

bsuite icon bsuite

bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

btda icon btda

implement for paper Rethinking Domain Adaptation Blending target Domain Adaptation by Adversarial Meta Adaptation Network

buda icon buda

Boundless Unsupervised Domain Adaptation in Semantic Segmentation

butteraugli icon butteraugli

butteraugli estimates the psychovisual difference between two images

bytenet icon bytenet

A tensorflow implementation of French-to-English machine translation using DeepMind's ByteNet .

bytenet_translation icon bytenet_translation

A TensorFlow Implementation of Machine Translation In Neural Machine Translation in Linear Time

byteps icon byteps

A high performance and general PS framework for distributed training

bytetrack icon bytetrack

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

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