pucktada

anago

Bidirectional LSTM-CRF for Sequence Labeling. Easy-to-use and state-of-the-art performance.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

been-pwned

Code the for Google Assistant app "Been Pwned"

char_rnn

Char-RNN implemented using TensorFlow.

clio-lite

Lightweight intelligent searching of elasticsearch data

cutkum

Thai Word-Segmentation with LSTM in Tensorflow

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Deep-Learning-in-Python

Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0

Deep_reinforcement_learning_Course

Implementations from the free course Deep Reinforcement Learning with Tensorflow

ethnicseer

pucktada/cutkum

Thai Word-Segmentation with LSTM in Tensorflow

pucktada/ethnicseer

pucktada/anago

Bidirectional LSTM-CRF for Sequence Labeling. Easy-to-use and state-of-the-art performance.

pucktada/baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

pucktada/been-pwned

Code the for Google Assistant app "Been Pwned"

pucktada/char_rnn

Char-RNN implemented using TensorFlow.

pucktada/clio-lite

Lightweight intelligent searching of elasticsearch data

pucktada/deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

pucktada/Deep-Learning-in-Python

Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0

pucktada/Deep_reinforcement_learning_Course

Implementations from the free course Deep Reinforcement Learning with Tensorflow

pucktada/DeepRL

Modularized Implementation of Deep RL Algorithms in PyTorch

pucktada/faceswap

Non official project based on original /r/Deepfakes thread. Many thanks to him!

pucktada/Getting-Things-Done-with-Pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

pucktada/kdd2018-tutorial

Companion repository for the KDD'18 hands-on tutorial on Higher-Order Data Analytics for Temporal Network Data

pucktada/lexicon-thai

คลังศัพท์ภาษาไทย

pucktada/pucktada.github.io

pucktada/pysc2

StarCraft II Learning Environment

pucktada/reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

pucktada/retain

RETAIN: Interpretable Predictive Model in Healthcare using Reverse Time Attention Mechanism

pucktada/RL-Adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

pucktada/stock-volatility-google-trends

Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf

pucktada/working