A Streamlit demo demonstrating the Deep Dream technique. Adapted from the TensorFlow Deep Dream tutorial
pip install -r requirements.txt
streamlit run https://raw.githubusercontent.com/tvst/deepdream/master/streamlit_app.py
...or clone this repo and then run with:
streamlit run streamlit_app.py
Please ask in the Streamlit community.
vae-textures This is an experiment with using variational autoencoders (VAEs) to perform mesh parameterization. This was also my first project using J
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification Created by Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, Ch
DAE-AQA It is an open source program reference to paper Auto-Encoding Score Distribution Regression for Action Quality Assessment. 1.Introduction DAE
direpack: a Python 3 library for state-of-the-art statistical dimension reduction techniques This package delivers a scikit-learn compatible Python 3
Learning Intents behind Interactions with Knowledge Graph for Recommendation This is our PyTorch implementation for the paper: Xiang Wang, Tinglin Hua
PhaseGuidedControl The current version is developed based on the old version of RaiSim series, and possibly requires further modification. It will be
COMP-445 Data Communications & Computer Networks Change Python version in Conda
Predicting Auction Sale Price using the kaggle bulldozer auction sales data: Modeling with Ensembles vs Neural Network The performances of tree ensemb
Flow Gaussian Mixture Model (FlowGMM) This repository contains a PyTorch implementation of the Flow Gaussian Mixture Model (FlowGMM) model from our pa
Balancing Training for Multilingual Neural Machine Translation Implementation of the paper Balancing Training for Multilingual Neural Machine Translat
ScaleNet: A Shallow Architecture for Scale Estimation Repository for the code of ScaleNet paper: "ScaleNet: A Shallow Architecture for Scale Estimatio
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models Abstract Many applications of generative models rely on the marginali
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
[ICCV'2021] Image Inpainting via Conditional Texture and Structure Dual Generation
Real-time Instance Segmentation and Lane Detection This is a lane detection integrated Real-time Instance Segmentation based on YOLACT (You Only Look
recsys_metrics An efficient PyTorch implementation of the evaluation metrics in recommender systems. Overview • Installation • How to use • Benchmark
Frustratingly Simple Pretraining Alternatives to Masked Language Modeling This is the official implementation for "Frustratingly Simple Pretraining Al
PlotNeuralNet Latex code for drawing neural networks for reports and presentation. Have a look into examples to see how they are made. Additionally, l
Elegy Elegy is a framework-agnostic Trainer interface for the Jax ecosystem. Main Features Easy-to-use: Elegy provides a Keras-like high-level API tha
iGAN: Interactive Image Generation via Generative Adversarial Networks Project | Youtube | Paper Recent projects: [pix2pix]: Torch implementation for
41 May 24, 2022
414 Jan 01, 2023
13 Nov 16, 2022
32 Dec 14, 2022
158 Dec 15, 2022
12 Oct 21, 2022
2 Oct 03, 2022
2 Sep 13, 2022
124 Nov 06, 2022
21 May 18, 2022
34 Nov 09, 2022
9 Jun 06, 2022
1.3k Dec 31, 2022
122 Dec 11, 2022
4 Dec 30, 2022
12 Dec 02, 2022
31 Nov 18, 2022
18.6k Jan 01, 2023
435 Dec 30, 2022
3.9k Dec 23, 2022