-
IA Pucp
- Lima, Peru
- kdrivas.github.io
- @nautilus_t8
Stars
🛡️ ⚛️ A simple, scalable, and powerful architecture for building production ready React applications.
Project for real-time anomaly detection using Kafka and python
lightweight, idiomatic and composable router for building Go HTTP services
moDel Agnostic Language for Exploration and eXplanation
Interpret machine learning predictions using agnostic local feature importance based on Shapley Values.
how to put forms which send emails onto static sites
Third iteration of my personal website built with Jekyll
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Code for ACL'20 paper "It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations"
Distributed Asynchronous Hyperparameter Optimization in Python
generative adversarial nets for neural machine translation
MLHEP 2015 materials (http://hse.ru/mlhep2015)
PyTorch implementation of the position-aware attention model for relation extraction
A implementation of SeqGAN in PyTorch, following the implementation in tensorflow.
Implementation of Sequence Generative Adversarial Nets with Policy Gradient in PyTorch
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
A simple emoji classifier for humans. 🖖
Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder
A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
The Python micro framework for building web applications.
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).