Pinned Repositories
alphalens
Performance analysis of predictive (alpha) stock factors
ampcrowd
A RESTful web service that runs microtasks across multiple crowds, provides quality control techniques, and is easily extensible.
applied-dl-2018
Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs
archlinux-docker
Arch Linux Docker base image build setup using bootstrap tarball.
attention-analysis
awesome-text-summarization
A curated list of resources dedicated to text summarization
blockstack-browser
The Blockstack Browser
boilerpipe
Work in progress transmit from Google Code
BPL
Bayesian Program Learning model for one-shot learning
infsci2725-spring-2018
chirayukong's Repositories
chirayukong/alphalens
Performance analysis of predictive (alpha) stock factors
chirayukong/attention-analysis
chirayukong/awesome-text-summarization
A curated list of resources dedicated to text summarization
chirayukong/comet-commons
chirayukong/demo-self-driving
Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
chirayukong/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
chirayukong/dogehouse
The home for voice conversations.
chirayukong/eda_nlp
Code for the ICLR 2019 Workshop paper: Easy data augmentation techniques for boosting performance on text classification tasks.
chirayukong/fastai
The fast.ai deep learning library, lessons, and tutorials
chirayukong/google-research
Google AI Research
chirayukong/gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
chirayukong/grf
Generalized Random Forests
chirayukong/hdbscan
A high performance implementation of HDBSCAN clustering.
chirayukong/KB2E
Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE
chirayukong/mat2vec
Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).
chirayukong/modAL
A modular active learning framework for Python3
chirayukong/orchest
Build data pipelines, the easy way 🛠️
chirayukong/pyfolio
Portfolio and risk analytics in Python
chirayukong/pyprobml
Python code for "Machine learning: a probabilistic perspective"
chirayukong/pytorch-pretrained-BERT
A PyTorch implementation of Google AI's BERT model with script to load Google's pre-trained models
chirayukong/react-schemaorg
Type-checked Schema.org JSON-LD for React
chirayukong/react-structured-data
React Structured Data provides an easy way to add structured data to your React apps
chirayukong/Recommenders
Recommender Systems
chirayukong/reinforcement-learning-an-introduction
Python implementation of Reinforcement Learning: An Introduction
chirayukong/sentencepiece
Unsupervised text tokenizer for Neural Network-based text generation.
chirayukong/SimpleITK-Notebooks
Jupyter notebooks for learning how to use SimpleITK
chirayukong/Text-Classification
Text Classification through CNN, RNN & HAN using Keras
chirayukong/torchio
Tools for loading, augmenting and writing 3D medical images on PyTorch.
chirayukong/weaviate
Weaviate is a cloud-native, modular, real-time vector search engine
chirayukong/xlnet
XLNet: Generalized Autoregressive Pretraining for Language Understanding