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ml-lab's Projects

generate_to_adapt icon generate_to_adapt

Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"

generative-compression icon generative-compression

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

generative-models icon generative-models

Collection of generative models, e.g. GAN, VAE in Tensorflow, Keras, and Pytorch.

generative_inpainting icon generative_inpainting

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

gensen icon gensen

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning

geodetics icon geodetics

Haskell library of data types and calculations for positions on planet Earth

geoman icon geoman

Geo-sensory time series prediction, IJCAI-18

geonet icon geonet

Code for GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose (CVPR 2018)

geoopt icon geoopt

Riemannian Adaptive Optimization Methods with pytorch optim

gfkd icon gfkd

The implementation for the work "Graph-Free Knowledge Distillation for Graph Neural Networks".

ggrandomforests icon ggrandomforests

Graphical analysis of random forests with the randomForestSRC and ggplot2 packages.

ghiaseddin icon ghiaseddin

Author's implementation of the paper "Deep Relative Attributes" (ACCV 2016)

ghm_detection icon ghm_detection

The implementation of “Gradient Harmonized Single-stage Detector” published on AAAI 2019.

gimp-ml icon gimp-ml

Set of Machine Learning Python plugins for GIMP

gl3d icon gl3d

GL3D (Geometric Learning with 3D Reconstruction): a large-scale database created for 3D reconstruction and geometry-related learning problems

glas icon glas

Generative Latent Attentive Sampler

glfm icon glfm

General Latent Feature Modeling for Heterogeneous data

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