Chirayu (Kong) Wongchokprasitti's repositories
orchest
Build data pipelines, the easy way 🛠️
weaviate
Weaviate is a cloud-native, modular, real-time vector search engine
demo-self-driving
Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
SimpleITK-Notebooks
Jupyter notebooks for learning how to use SimpleITK
dogehouse
The home for voice conversations.
torchio
Tools for loading, augmenting and writing 3D medical images on PyTorch.
mat2vec
Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).
xlnet
XLNet: Generalized Autoregressive Pretraining for Language Understanding
react-structured-data
React Structured Data provides an easy way to add structured data to your React apps
react-schemaorg
Type-checked Schema.org JSON-LD for React
eda_nlp
Code for the ICLR 2019 Workshop paper: Easy data augmentation techniques for boosting performance on text classification tasks.
gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
Recommenders
Recommender Systems
KB2E
Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE
pytorch-pretrained-BERT
A PyTorch implementation of Google AI's BERT model with script to load Google's pre-trained models
google-research
Google AI Research
modAL
A modular active learning framework for Python3
hdbscan
A high performance implementation of HDBSCAN clustering.
pyfolio
Portfolio and risk analytics in Python
alphalens
Performance analysis of predictive (alpha) stock factors
grf
Generalized Random Forests
Text-Classification
Text Classification through CNN, RNN & HAN using Keras
sentencepiece
Unsupervised text tokenizer for Neural Network-based text generation.
fastai
The fast.ai deep learning library, lessons, and tutorials
reinforcement-learning-an-introduction
Python implementation of Reinforcement Learning: An Introduction
pyprobml
Python code for "Machine learning: a probabilistic perspective"