jacobswan1 Goto Github PK
Name: Jacob
Type: User
Company: Amazon Alexa AI.
Bio: Applied Research Scientist for Vision and Language.
Location: San Jose
Name: Jacob
Type: User
Company: Amazon Alexa AI.
Bio: Applied Research Scientist for Vision and Language.
Location: San Jose
https://SUSTech-Application.github.io/2019-Fall
[Arxiv2022] All in One: Exploring Unified Video-Language Pre-training
ASU Thesis Format
Deep image retrieval by attribute/description.
The low-level, core functionality of boto 3.
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
Activity Recognition Algorithms for the Charades Dataset
An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"
Contrastive Multiview Coding
Reference code for the paper CAMS: Color-Aware Multi-Style Transfer.
ICCV2019: Controllable Video Captioning with POS Sequence Guidance Based on Gated Fusion Network
Extracting optical flow and frames
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Face generation from a given extremely low resolution images using DC_GAN.
Flickr30K Entities Dataset
List of images from the Flickr30k dataset with only a single person in the view.
Folder / directory structure options and naming conventions for software projects
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
code for our CVPR2020 paper "IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text Retrieval"
Learning phrase grounding from captioned images through InfoNCE bound on mutual information
Second order information based SGD
Implementation BEGAN([Boundary Equilibrium Generative Adversarial Networks](https://arxiv.org/pdf/1703.10717.pdf)) by Keras.
Github for my ICCV 2017 paper: "Localizing Moments in Video with Natural Language"
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
Markdown content for the www.aerobatic.io website
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The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.