devaroundu
Follow
Stars
https://huyenchip.com/ml-interviews-book/
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
We have put together some examples of different well known machine learning algorithms. This is to make it easier to understand how it looks like when working with machine learning in code. Happy h…
Make huge neural nets fit in memory
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
High-Resolution 3D Human Digitization from A Single Image.
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning mode…
The fastai book, published as Jupyter Notebooks
Image completion using deep convolutional generative adversarial nets in tensorflow
Just draw a bounding box and you can remove the object you want to remove.
Keras implementation of "Image Inpainting via Generative Multi-column Convolutional Neural Networks" paper published at NIPS 2018
Criminisi et al's region inpainting algorithm in C++
Semantic Image Inpainting with Progressive Generative Networks
Wide-Context Semantic Image Extrapolation, CVPR2019
🎨 Deep Fusion Network for Image Completion - ACMMM 2019
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Implementation of NeurIPS 19 paper: Paraphrase Generation with Latent Bag of Words
an implementation of 3D Ken Burns Effect from a Single Image using PyTorch
A collection of various deep learning architectures, models, and tips
Find, try and connect to APIs easily with the RapidAPI marketplace
Android Port of OrientDB: A NoSQL Document Graph DBMS
[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation
Deep 3DMM facial expression parameter extraction
Repository for our CVPR 2017 and IJCV: TGIF-QA