adhiiisetiawan

atari-dqn

Implementation Deep Q Network to play Atari Games

corn-disease-recognition

Image recognition for corn leaf disease. The model has been deployed as an android application for easy use by farmers and agricultural professionals.

corn-leaf-infection-recognition

Project for recognize corn leaf infection

covid19-recognition

Computer vision task to do early detection of COVID-19 using X-Ray chest image. This AI model built with ConvNeXt architecture

document-clustering

Document clustering system for thesis document using Self Organizing Maps algorithm

large-scale-pest-recognition

Implementation of an advanced Convolutional Neural Network (CNN) for large-scale pest recognition, incorporating augmentation techniques and regularizers for improved accuracy and generalization.

q-learning-grid-env

Implementation of Q-Learning agent in grid world environment

retrieval-augmented-generation

This repository contains exploration in retrieval augmented generation (RAG) specificily using Chroma

sugar-and-calorie-detection-in-food

Sweetect is an application for displaying sugar and calorie level from food images.

earth-vision

Jakarta Research Earth Observatory - Library

adhiiisetiawan/atari-dqn

Implementation Deep Q Network to play Atari Games

adhiiisetiawan/large-scale-pest-recognition

Implementation of an advanced Convolutional Neural Network (CNN) for large-scale pest recognition, incorporating augmentation techniques and regularizers for improved accuracy and generalization.

adhiiisetiawan/q-learning-grid-env

Implementation of Q-Learning agent in grid world environment

adhiiisetiawan/retrieval-augmented-generation

This repository contains exploration in retrieval augmented generation (RAG) specificily using Chroma

adhiiisetiawan/covid19-recognition

Computer vision task to do early detection of COVID-19 using X-Ray chest image. This AI model built with ConvNeXt architecture

adhiiisetiawan/AMDKD

The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at NeurIPS2022.

adhiiisetiawan/arxiv-graph-rag

adhiiisetiawan/azure-validation-ocr

This project designed to automate the process of validating and extracting information from document receipts.

adhiiisetiawan/computer-vision-course

This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord

adhiiisetiawan/demucs

Code for the paper Hybrid Spectrogram and Waveform Source Separation

adhiiisetiawan/ElegantRL

Massively Parallel Deep Reinforcement Learning. 🔥

adhiiisetiawan/faster-rcnn-inference

Object detection inference with Faster R-CNN

adhiiisetiawan/HCVRP_DRL

This repo implements our paper, "Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem"

adhiiisetiawan/lets-do-irl

Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)

adhiiisetiawan/MDAM

adhiiisetiawan/multi-AI-agents

adhiiisetiawan/optimization-EdgeTPU

This repository contains experiments optimization on EdgeTPU

adhiiisetiawan/Pearl

A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

adhiiisetiawan/ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

adhiiisetiawan/ReAgent

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

adhiiisetiawan/recommenders

Best Practices on Recommendation Systems

adhiiisetiawan/RL4DB-TUTORIAL-PRICAI-2023

adhiiisetiawan/road-pothole-SAM

This repository is for fine-tuning Segment Anything model on custom dataset

adhiiisetiawan/so-vits-svc

SoftVC VITS Singing Voice Conversion

adhiiisetiawan/stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

adhiiisetiawan/TensorRT-LLM

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

adhiiisetiawan/tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

adhiiisetiawan/trt-llm-rag-windows

A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM

adhiiisetiawan/vits-finetuning

Fine-Tuning your VITS model using a pre-trained model

adhiiisetiawan/VRP-RL

Reinforcement Learning for Solving the Vehicle Routing Problem