DocILE: Document Information Localization and Extraction Benchmark

The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.

Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks

Text to Speech with PyTorch (English and Mongolian)

PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models

Example programs to Demonstrate Gooey's functionality

Bonus materials, exercises, and example projects for our Python tutorials

It contains the solutions of problems in Leetcode June Challenge 2020

PyTorch implementations of Generative Adversarial Networks.

I listed All the questions that I wrote at least twice in https://seanforfun.github.io/leetcode/. Though all my solutions can be found at leetcode column. I also made my own conclusions about data …

Dense Depth for Autonomous Driving (DDAD) dataset.

Rich is a Python library for rich text and beautiful formatting in the terminal.

A simple, fully convolutional model for real-time instance segmentation.

MSVC's implementation of the C++ Standard Library.

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

Label Studio is a multi-type data labeling and annotation tool with standardized output format

These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.

PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.

mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).

A New Ensemble Learning Framework for 3D Biomedical Image Segmentation, AAAI, 2019

Bug-tracking for Jeff's algorithms book, notes, etc.

PyTorch deep learning projects made easy.

🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.

A self-driving car simulator built with Unity

Minimal PyTorch implementation of YOLOv3

GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"