ml-lab Goto Github PK

human-activity-recognition-using-cnn

CNN for Human Activity Recognition in Tensorflow

human-motion-prediction

Simple baselines and RNNs for predicting human motion in tensorflow. Presented at CVPR 17.

human-pose-estimation.pytorch

The project is official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

human-pose-with-scanner-run

humbugdb

Acoustic mosquito detection code with Bayesian Neural Networks

hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.

hvil

hybayes

Bayesian Assessment of Hypotheses

hybridpose

Implementation of HybridPose: 6D Object Pose Estimation under Hybrid Representation

hydra

A decentralised application that creates high quality machine learning datasets

hylogen

GLSL embedded in Haskell

hype

Hype: Compositional Machine Learning and Hyperparameter Optimization

hyper-engine

Python library for Bayesian hyper-parameters optimization

hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

hyperbolic-image-embeddings

Supplementary code for the paper "Hyperbolic Image Embeddings".

hyperbolic_cones

Source code for the ICML'18 paper "Hyperbolic Entailment Cones for Learning Hierarchical Embeddings", https://arxiv.org/abs/1804.01882

hyperbolics

Hyperbolic Embeddings

hypergan

A versatile GAN(generative adversarial network) implementation. Focused on scalability and ease-of-use.

hypergrad

Exploring differentiation w.r.t hyperparameters

hyperlearn

50%+ Faster, 50%+ less RAM usage, GPU support re-written Sklearn, Statsmodels combo with new novel algorithms.

hyperopt-keras-cnn-cifar-100

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task. Monitoring with TensorBoard. Other visualizations available.

hyperparams-free-3d-losses

hyperseg

HyperSeg - Official PyTorch Implementation

hyperview_eagleeyes

Soil parameter estimation from hyperspectral satellite images

ibn-net

Instance-Batch Normalization Networks (ECCV2018)

iccv17-fashiongan

Full version (training+testing) of implementation of Shizhan Zhu et al.'s ICCV-17 work Be Your Own Prada: Fashion Synthesis with Structural Coherence

iccv2015_brain4cars

Code for ICCV2015 paper "Car That Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models"

icdar2019_ctdar

The ICDAR 2019 cTDaR is to evaluate the performance of methods for table detection (TRACK A) and table recognition (TRACK B). For the first track, document images containing one or several tables are provided. For TRACK B two subtracks exist: the first subtrack (B.1) provides the table region. Thus, only the table structure recognition must be performed. The second subtrack (B.2) provides no a-priori information. This means, the table region and table structure detection has to be done.

ici-fsl

This repository contains the code for our paper "Instance Credibility Inference for Few-Shot Learning" in CVPR, 2020.

iclr15

Sentiment Analysis with Ensemble