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ml-lab's Projects

hrnet-maskrcnn-benchmark icon hrnet-maskrcnn-benchmark

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).

hs-carbon icon hs-carbon

A Haskell framework for (parallel) Monte Carlo simulations

hscrf-pytorch icon hscrf-pytorch

ACL 2018: Hybrid semi-Markov CRF for Neural Sequence Labeling (https://arxiv.org/pdf/1805.03838.pdf)

hsr icon hsr

Hand signals recognition using Convolutional Neural Network implemented in TensorFlow

hub icon hub

A library for transfer learning by reusing parts of TensorFlow models.

huggingpics icon huggingpics

🤗🖼️ HuggingPics: Fine-tune Vision Transformers for anything using images found on the web.

human-pose-estimation.pytorch icon 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)"

humbugdb icon humbugdb

Acoustic mosquito detection code with Bayesian Neural Networks

hummingbird icon hummingbird

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

hybridpose icon hybridpose

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

hydra icon hydra

A decentralised application that creates high quality machine learning datasets

hype icon hype

Hype: Compositional Machine Learning and Hyperparameter Optimization

hyper-engine icon hyper-engine

Python library for Bayesian hyper-parameters optimization

hyperas icon hyperas

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

hyperbolic_cones icon hyperbolic_cones

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

hypergan icon hypergan

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

hypergrad icon hypergrad

Exploring differentiation w.r.t hyperparameters

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