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Muhammad Iqbal Maulana's Projects

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

deep-learning-containers icon deep-learning-containers

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

deepfilter icon deepfilter

This repository contains the codes for DeepFilter. This model removes the baseline wander from ECG signals

dspy icon dspy

DSPy: The framework for programming—not prompting—foundation models

hybrid-exoskeleton-glove icon hybrid-exoskeleton-glove

An Open-Source, Hybrid Exoskeleton Glove Equipped with Variable Stiffness Joints, Abduction Capabilities, and a Telescopic Extra Thumb

instantsplat icon instantsplat

Implementation of InstantSplat where Dust3r is used instead of colmap for points initialization

kawalc1 icon kawalc1

Automatic verification of uploaded C1 forms through image processing.

nerf2mesh icon nerf2mesh

[ICCV2023] Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement

playlistanalyzer icon playlistanalyzer

Draw insights on Spotify users’ musical tastes and generate playlists tailored to either a single user or a group of users by analyzing their Top 100 tracks.

rgb-2-nir icon rgb-2-nir

Image-to-Image Translation which convert RGB to NIR for Agricultural

sdfstudio icon sdfstudio

A Unified Framework for Surface Reconstruction

soft-robot-koopman icon soft-robot-koopman

Supplemental code for "Data-driven Control of Soft Robots Using Koopman Operator Theory," by Daniel Bruder, Xun Fu, R. Brent Gillespie, C. David Remy, and Ram Vasudevan.

stable-baselines3 icon stable-baselines3

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

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