Adhi Setiawan's repositories
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.
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.
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
covid19-recognition
Computer vision task to do early detection of COVID-19 using X-Ray chest image. This AI model built with ConvNeXt architecture
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
demucs
Code for the paper Hybrid Spectrogram and Waveform Source Separation
ElegantRL
Massively Parallel Deep Reinforcement Learning. 🔥
faster-rcnn-inference
Object detection inference with Faster R-CNN
HCVRP_DRL
This repo implements our paper, "Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem"
jetson-inference
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
lightning-hydra-template
PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡
optimization-EdgeTPU
This repository contains experiments optimization on EdgeTPU
Pearl
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
ppo-implementation-details
The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization
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.
recommenders
Best Practices on Recommendation Systems
road-pothole-SAM
This repository is for fine-tuning Segment Anything model on custom dataset
so-vits-svc
SoftVC VITS Singing Voice Conversion
spotify-app-review-sentiment-analysis
Sentiment analysis for Spotify App Review
stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
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.
tensorrtx
Implementation of popular deep learning networks with TensorRT network definition API
trt-llm-rag-windows
A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM
VRP-RL
Reinforcement Learning for Solving the Vehicle Routing Problem