Sentiment Analysis for Fine-Grained Classification
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Updated
Jul 28, 2024 - Jupyter Notebook
Sentiment Analysis for Fine-Grained Classification
Estimate the demand of working memory in Social Cognition Tasks using HCP-fMRI dataset
Neuromatch Academy Project 2021 💻
This is our Neuromatch Academy 2020 computational neuroscience summer school group project.
PyTorch implementation of MADDPG for OpenAI Multi-Agent Particle Environments (MPE). Built as part of the Neuromatch Academy training program—train/evaluate multi-agent policies in cooperative & competitive scenarios and export rollouts as GIFs (Colab-friendly).
ECoG Motor Imagery Classification and Analysis. (Neuromatch Academy Project)
Working Memory Architecture and Demand model created by Montbretia Cabinet in NMA Computational Neuroscience course and Impact Scholars Program.
A project for NMA_CN _2022 by Chaosfan group, which is using HMM to explore Steinmetz Dataset.
NMA Computational Neuroscience course (experimental version)
Python code for Neuromatch Academy's Summer 2022 Deep Learning course project: Waste detection using Mask R-CNN on TACO dataset.
NMA Deep Learning Course Project
A comparison between single agent and multi agent framework for object localization.
A study of the representational alignment between diffusion models and Macaque cross timesteps and ROIs
The assignments and projects done in Neuromatch Academy's Computational NeuroScience Course, for 2021
A Python notebook that contains pre-built functions to load, manipulate and analyze data from the Algonauts 2021 Mini-Track dataset.
🌐🗺 Impact Analysis Dashboard for Neuromatch Academy
Exploratory project to interpret electrophysiological data from the Steinmetz et al. 2019 dataset. A part of the Neuromatch Academy Summer School.
Python code for Neuromatch Academy's Summer 2021 Computational Neuroscience final project, exploring the correspondence between Alexnet layers and visual cortex hierarchy using fwRF encoding models and fMRI response prediction.
A repository for learning in NMA_CN 2022
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