머신러닝 · GitHub

CNN architecture exploration using Genetic Algorithm

[CVPR'2024] Official implementation of the paper "ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation"

In this notebook, we will build an abstractive based text summarizer using deep learning from the scratch in python using keras

Vocalization sign language iOS App with deep learning using CoreML.

Integrating the TensorFlow 1.15 C-API into OpenFOAM 5.0 for data-driven CFD algorithm development

Boundary Equibilibrium Generative Adversarial Networks Implementation in Tensorflow

Reading irctc captchas with 98% accuracy using deep learning

This project organizes classic images classification neural networks based on convolution or attention, and writes training and inference python scripts

Basic Movie Recommendation Web Application using user-item collaborative filtering.

Greetings! 👋 I'm Loga Aswin, diving into a 100-day data science immersion from Python fundamentals to real-world applications. This space will be a live documentation of my journey, where code meets curiosity. Let's connect, learn, and code together. Click ⭐ on GitHub to stay tuned for updates on my work!

TensorFlow/Keras CNN for the Kaggle CIFAR-10 competition with data augmentation and submission generation.

Image reconstruction done with untrained neural networks.

A voice-controlled robot using the ESP32 and TensorFlow Lite

Auto-DL helps you make Deep Learning models without writing a single line of code and giving as little input as possible.

Code for UV-Net: Learning from Boundary Representations, CVPR 2021.

Some practices about deep learning

A guided mutation-based fuzzer for ML-based Web Application Firewalls

Implementation of DeepLabV3 paper using Pytorch

A library for neuroscience-inspired navigation and decision making research.

Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.

The Amazon S3 Connector for PyTorch delivers high throughput for PyTorch training jobs that access and store data in Amazon S3.

🎙️ Offline audio transcription with Whisper.