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reliability-modeling-for-stock-comments

Reliability Modeling for Stock Comment

residual_adapters

resume

An elegant \LaTeX\ résumé template

rl_graph_generation

scan

PyTorch source code for "Stacked Cross Attention for Image-Text Matching"

science_rcn

Reference implementation of a two-level RCN model

sdvae

code for Syntax-Directed Variational Autoencoder that generates programs and molecues

selfimitationdiverse

Code for "Learning Self-Imitating Diverse Policies" (ICLR 2019)

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

seqvlad-pytorch

The implementation of Sequential VLAD in Pytorch

sfmlearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

siamfc-tf

State-of-the-art object tracking at high framerates, in TensorFlow.

sims

Semi-parametric Image Synthesis

sp-aen.cvpr18

Zero-Shot Visual Recognition using Semantic-Preserving Adversarial Embedding Networks

spatial-aware-object-embeddings

Code base for zero-shot action localization through spatial-aware object embeddings

squirrel

An open source deep learning action recognition and segmentation framework

ss-graph-distillation

The source code of our IJCAI 2018 paper "Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification".

ssd

st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

stackgan-pytorch

stnbhwd

Modules for spatial transformer networks (BHWD layout)

svg

sync-draw

Sync-DRAW: Automatic Video Generation using Deep Recurrent Attentive Architectures

tall

TALL: Temporal Activity Localization via Language Query

tdd

Trajectory-pooled Deep-Convolutional Descriptors

temporal-fields

Code for training temporal fully-connected CRF models in Torch

temporal-segment-networks

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

tensor2tensor

A library for generalized sequence to sequence models

tensorflow-generative-model-collections

Collection of generative models in Tensorflow

tensorflow-vae-gan-draw

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).