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
Multiclass Classification Model to predict the effective writings of essays written by students ranging from 6th-12th grade. The data was take from the Kaggle Competition.
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.
Using a supercar and a common car datasets, we analyzed car variables with prices. Also created two machine learning models to create more relationships between variables and predict prices
Recommendation Engine powered by Matrix Factorization.
🐋 Template for ML projects using VSCode Development Containers
First project to implement from data 2 deployment on streamlit
TinyML tools for and with WandB
Vectorized CNN implementation from scratch using only numpy
Fine tuning Mistral-7b with PEFT(Parameter Efficient Fine-Tuning) and LoRA(Low-Rank Adaptation) on Puffin Dataset(multi-turn conversations between GPT-4 and real humans)
Julia macros for logging to Weights & Biases (wandb.ai).
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.
The repository contains an Deep Learning model trained on Alzheimer data for a classification problem
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