Stars
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
This repository contains demos I made with the Transformers library by HuggingFace.
An open-source, low-code machine learning library in Python
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's …
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collec…
Algorithms for outlier, adversarial and drift detection
Pytorch0.4.1 codes for InsightFace
Project for Digital Image Processing
🔥 CNN for Watermark Removal using Deep Image Prior with Pytorch 🔥.
Re-implementation of TensorFlow in pure python, with an emphasis on code understandability
A one-stop repository for low-code easily-installable object detection pipelines.
The first-ever vast natural language processing benchmark for Indonesian Language. We provide multiple downstream tasks, pre-trained IndoBERT models, and a starter code! (AACL-IJCNLP 2020)
This is the implementation of paper <Additive Margin Softmax for Face Verification>
My notes / works on deep learning from Coursera
Quantitative finance research tools in Python
A library for ML benchmarking. It's powerful.
South-East Asia Large Language Models
A collaborative project to collect datasets in Indonesian languages.
Tutorial Sessions for SciPy Con 2019
Code and data for "TURL: Table Understanding through Representation Learning"
SSH into Colab notebook with access to your google drive.
Dropout as Regularization and Bayesian Approximation