pucktada
NLP, Deep Learning, Machine Learning Researcher at Bank of Thailand
Bank of ThailandBangkok, Thailand
pucktada's Stars
tesseract-ocr/tesseract
Tesseract Open Source OCR Engine (main repository)
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
suno-ai/bark
🔊 Text-Prompted Generative Audio Model
ggerganov/whisper.cpp
Port of OpenAI's Whisper model in C/C++
ctgk/PRML
PRML algorithms implemented in Python
Azure-Samples/azure-search-openai-demo
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
madmaze/pytesseract
A Python wrapper for Google Tesseract
Trusted-AI/adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
dsgiitr/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
google-research/albert
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
curiousily/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 BER
mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
vahidk/EffectivePyTorch
PyTorch tutorials and best practices.
yandex-research/rtdl
Research on Tabular Deep Learning: Papers & Packages
gzerveas/mvts_transformer
Multivariate Time Series Transformer, public version
google-research/lasertagger
neubig/lowresource-nlp-bootcamp-2020
The website for the CMU Language Technologies Institute low resource NLP bootcamp 2020
ServiceNow/N-BEATS
N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started at Element AI.
OATML/non-parametric-transformers
Code for "Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning"
mikekeith52/scalecast
The practitioner's forecasting library
YingtongDou/CARE-GNN
Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
graykode/ALBERT-Pytorch
Pytorch Implementation of ALBERT(A Lite BERT for Self-supervised Learning of Language Representations)
MariyaSha/WebscrapingFacebook
Download all your personal images + tagged images from Facebook with Selenium
TreB1eN/HiddenMarkovModel_Pytorch
Pytorch: Viterbi, Forward-Backward and Baum Welch with a Hidden Markov Model (HMM)
PacktPublishing/Learn-Unity-ML-Agents-Fundamentals-of-Unity-Machine-Learning
Learn Unity ML-Agents - Fundamentals of Unity Machine Learning, published by Packt
h3ik0th/ES_energy_Transformer
Python Darts deep forecasting models
charlietran/gtr-pnp
botx/nameseer
pucktada/ethnicseer
pier-x/beamer-theme-pier
PIER's Beamer theme, so we can [slowly] move away from PowerPoint slides!