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Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models" (ICLR 2024)
NMA Computational Neuroscience course
Notebooks for "Python for Signal Processing" book
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
cs231n assignments sovled by https://ghli.org
Self-study on Larry Wasserman's "All of Statistics"
Implementing Siamese networks with a contrastive loss for similarity learning
My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition
Open source ultrasound processing modules and building blocks
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).
Various projects in Linear Regression, Logistic Regression, k Nearest Neighbors, Decision Trees, Random Forests, SVM
My implementation of Lagorce et al 2017: HOTS: A Hierarchy of Event-Based Time-Surfaces for Pattern Recognition
Python implementation of HOTS: Hierarchy Of event-based Time-Surface for pattern recognition
Domain adaptation between 2 different datasets : from SVHN to MNIST. Final accuracy on MNISt : 96%