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hulksmashthor

THOR Challenge for the CVPR 2017 Workshop on Visual Understanding Across Modalities

icra2017-visual-navigation

Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning

imu-plos_lstm

Using LSTM networks to train IMU data by PLOS - This is custom LSTM-RNN .

info-gail-commneted

This is commented InfoGAIL - Specially wgail_info_o

inverse-reinforcement-learning

Implementations of selected inverse reinforcement learning algorithms.

irl

Inverse Reinforcement Learning

irl-imitation

Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

irl_rocks

Cool Inverse Reinforcement Learning Papers

kaggle-titanic

My first kaggle project

keras-inception-resnet-v2

The Inception-ResNet v2 model using Keras (with weight files)

lecture-summarizer

Lecture summarization with BERT

local_faster_rcnn

This is well described repo for train the faster RCNN /SSD on a local machine

lstm-sentiment-analysis

Sentiment Analysis with LSTMs in Tensorflow

maia-data-processing

This repository has all the multimodal data processing scripts

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

matching-networks

Matching Networks for one-shot learning in tensorflow (NIPS'16)

matching-networks-pytorch

Matching Networks for one shot learning

medical-imaging-challenge

This is the test code for apply for M Imaging Challenge

meirl

Maximum Entropy Inverse Reinforcement Learning for predicting pedestrian movement

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

minimal-transformer

This is a transformer to do the translation

mlops-zoomcamp

Free MLOps course from DataTalks.Club

models

Models built with TensorFlow

modern_soundnet

The PyTorch implementation of SoundNet with a more modern way

modified-unseen_neural-art

Original Code - https://github.com/sebasvega95/neural-style-transfer (A superb Implementation) (Juan Sebastián Vega Patiño)

mt-dnn

Multi-Task Deep Neural Networks for Natural Language Understanding

mtan

The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].

multimodal-transformer

[ACL'19] Pytorch implementation for learning Multimodal Transformer for unaligned multimodal language sequences

multiprocessing-tutorials

muvilab

MUltiple VIdeos LABelling tool