This directory contains code implementations and pre-trained models of published research papers.
The research models are maintained by their respective authors.
| Directory | Name | Description | Maintainer(s) |
|---|---|---|---|
| object_detection | TensorFlow Object Detection API | A framework that makes it easy to construct, train and deploy object detection models A collection of object detection models pre-trained on the COCO dataset, the Kitti dataset, the Open Images dataset, the AVA v2.1 dataset, and the iNaturalist Species Detection Dataset |
jch1, tombstone, pkulzc |
| slim | TensorFlow-Slim Image Classification Model Library | A lightweight high-level API of TensorFlow for defining, training and evaluating image classification models • Inception V1/V2/V3/V4 • Inception-ResNet-v2 • ResNet V1/V2 • VGG 16/19 • MobileNet V1/V2/V3 • NASNet-A_Mobile/Large • PNASNet-5_Large/Mobile |
sguada, marksandler2 |
| Directory | Paper(s) | Conference | Maintainer(s) |
|---|---|---|---|
| adversarial_text | [1] Adversarial Training Methods for Semi-Supervised Text Classification [2] Semi-supervised Sequence Learning |
[1] ICLR 2017 [2] NIPS 2015 |
rsepassi, a-dai |
| cvt_text | Semi-Supervised Sequence Modeling with Cross-View Training | EMNLP 2018 | clarkkev, lmthang |
| Directory | Paper(s) | Conference | Maintainer(s) |
|---|---|---|---|
| audioset | [1] Audio Set: An ontology and human-labeled dataset for audio events [2] CNN Architectures for Large-Scale Audio Classification |
ICASSP 2017 | plakal, dpwe |
| deep_speech | Deep Speech 2 | ICLR 2016 | yhliang2018 |
| Directory | Paper(s) | Conference | Maintainer(s) |
|---|---|---|---|
| efficient-hrl | [1] Data-Efficient Hierarchical Reinforcement Learning [2] Near-Optimal Representation Learning for Hierarchical Reinforcement Learning |
[1] NIPS 2018 [2] ICLR 2019 |
ofirnachum |
| pcl_rl | [1] Improving Policy Gradient by Exploring Under-appreciated Rewards [2] Bridging the Gap Between Value and Policy Based Reinforcement Learning [3] Trust-PCL: An Off-Policy Trust Region Method for Continuous Control |
[1] ICLR 2017 [2] NIPS 2017 [3] ICLR 2018 |
ofirnachum |
| Directory | Paper(s) | Conference | Maintainer(s) |
|---|---|---|---|
| lfads | LFADS - Latent Factor Analysis via Dynamical Systems | jazcollins, sussillo | |
| rebar | REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models | NIPS 2017 | gjtucker |
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