Very minimal pytorch boilerplate with wandb logging and multi gpu support
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Updated
Sep 21, 2020 - Python
Very minimal pytorch boilerplate with wandb logging and multi gpu support
This repository is used to keep track of the code I have written for the recommendation system.
A template repository to quickly get started on a new Machine Learning project.
Fall 2021 Introduction to Deep Learning - Homework 1 Part 2 (Frame Level Classification of Speech)
Showcase an MLOps project using Prefect, Wandb and GithubActions
Contrastive learning for multilingual complex named entity recognition. Bert + CRF model.
Recommendation Engine powered by Matrix Factorization.
Experiments of Pytorch SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Dockerized API Project, contains an optimized Neural Network Classification Model built with Keras. Performance of the model is analysed with WandB and Jupyter NBs. The project is further extended with a Web API and User Interface created with Flask, JS and Jinja for a seamless experience.
A project of Semantic Segmentations Modelling over Cityscape Datasets that incorporating Workflows, Experiment Tracking, Pipeline and testing
Comparing CNN and ViT explainability with MLOps-based environment
A flexible PyTorch template for ML experiments with configuration management, logging, and hyperparameter optimization.
🐋 Template for ML projects using VSCode Development Containers
Hyperparameter Tuning and Experiment Tracking with Weights & Biases
Implementation of various Autoregressive models, Research papers and techniques. Main aim is to write clean, modular, wrapper-free implementations.
A machine learning project to predict sold prices of items on Grailed, an online marketplace for high-end, pre-owned, and limited edition fashion.
This repo includes code files for project, I did at XYMA Analytics.
Implementation of "Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks" by Fang et al. (2020)
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