Name: Anshita Saxena
Type: User
Company: University of Montreal-MILA, IBM, Hydroquebec, Ericsson
Bio: Machine Learning Engineer @ Ericsson, Graduate Student MILA, Ex IBMer, Hydro-Québec Research Institute
Location: Montreal, Canada
Anshita Saxena's Projects
Climate Analytics using Deep Neural Networks in Python.
This project demonstrates the integration between notebook and DataStage in IBM CP4D Environment.
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This repository holds various architecture codes in Pytorch
[ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
This repository uses Graph4NLP library to evaluate Graph2Tree class on MAWPS dataset.
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
This is a repository for educational purposes, for the class IFT 6759 - projets avancés en apprentissage automatique
Competition 2 of ML Course
This project is based on replication within the nodes of the Scylla Database Cluster with the help of Kafka.
Purpose of this project is to record lag and logsize of Kafka topics and send the report via email or on slack.
This repository holds the LLM based project using huggingface and google open source language model.
A Production-Ready, Scalable RAG-powered LLM-based Context-Aware QA App
A `Neural = Symbolic` framework for sound and complete weighted real-value logic
This repository demonstrates the loan prediction through Python Pandas (Jupyter Notebook) and PySpark.
Hockey NHL Project (Data Science Project)
The purpose of this repo is to track the fundamental ml assignments code changes.
Code samples for book "Neural Networks and Deep Learning"
This project demonstrates the connection between different APIs running on Kubernetes as containers.
This project collects the monthly data from PostgreSQL and store the backup in IBM COS (S3 buckets)
Alien Invasion based on PyGame from "Python Crash Course" by Eric Matthes
Official repository of book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
This repository uses Huggingface and haystack library to perform question-answering on SubjQA Dataset.
This repository shows Text Classification where data was generated by ChatGPT prompt and then performed the experiments
Transformers applied on Time Series Forecasting
This repository is created for showing the Lesk and Self-Supervised Yarowsky Implementation to perform the word sense disambiguation task.
This code pattern creates a Python Flask application that incorporates MongoDB as a microservice in Docker containers. These containers are deployed in Kubernetes.