Ilham Bintang
ilham-bintang
Machine Learning Engineer
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Top Repositories
Data exploration for covid-19 from https://github.com/CSSEGISandData/COVID-19
This repository provides an example of dataset preprocessing, GBRT (Gradient Boosted Regression Tree) model training and evaluation, model tuning and finally model serving (REST API) in a containerized environment using MLflow tracking, projects and models modules.
Free, open source crypto trading bot
Repositories
97No description provided.
Free, open source crypto trading bot
Ghost Hunter java
Implementation of Siamese Networks for image one-shot learning by PyTorch, train and test model on dataset Omniglot
This package shows how to train a siamese network using Lasagne and Theano and includes network definitions for state-of-the-art networks including: DeepID, DeepID2, Chopra et. al, and Hani et. al. We also include one pre-trained model using a custom convolutional network.
Natural-Language-Toolkit for bahasa Malaysia, https://malaya.readthedocs.io/
Asyncer, async and await, focused on developer experience.
Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Docker, automatic HTTPS and more.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Data exploration for covid-19 from https://github.com/CSSEGISandData/COVID-19
This repository provides an example of dataset preprocessing, GBRT (Gradient Boosted Regression Tree) model training and evaluation, model tuning and finally model serving (REST API) in a containerized environment using MLflow tracking, projects and models modules.
No description provided.
Free MLOps course from DataTalks.Club
Mapping a variable-length sentence to a fixed-length vector using BERT model
daily dotfiles
Repository for hyperparameter tuning
No description provided.
The data structure for unstructured data
Open standard for machine learning interoperability
Python avatar generator for absolute nerds
No description provided.
LombokAI minibatch
No description provided.
No description provided.
Real time video and audio processing examples with Streamlit and streamlit-webrtc
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
No description provided.
A next generation HTTP client for Python. 🦋
PoC with FastAPI and Celery to ML inference