Replication of the Sequential Continuum Multi-Timescale Memory (CMS) optimizer from the Nested Learning framework, evaluated on Permuted-MNIST for continual learning and catastrophic forgetting ana…

A Reproduction of GDM's Nested Learning Paper

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…

KAN (Kolmogorov-Arnold Network)-based Recommendation (CF)

Hierarchical Reasoning Model Official Release

Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation (NeurIPS 2025)

Cosmos-Predict1 is a collection of general-purpose world foundation models for Physical AI that can be fine-tuned into customized world models for downstream applications.

This repository contains demos I made with the Transformers library by HuggingFace.

MiniTorch is an educational library that recreates core PyTorch features using only Python and NumPy. For more information, please read the README.md file.

PyTorch original implementation of "Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers" (NeurIPS 2024).

A repository of links with advice related to grad school applications, research, phd etc

AlphaFold 3 inference pipeline.

Convolutional Neural Network trained for age prediction using a large (n=11,729) set of MRI scans from a highly diversified cohort spanning different studies, scanners, ages, ethnicities and geogra…

30 C Compiler

This is an official code for IEEE article "DETR-SAM: Automated Few-Shot Segmentation With Detection Transformer and Keypoint Matching".

Bayesian neural networks via MCMC: tutorial

Cool links & research papers related to Machine Learning applied to source code (MLonCode)

Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

Face Attribute Prediction on CelebA benchmark with PyTorch Implementation

Diverse Ensemble Evolution: Curriculum based Data-Model Marriage (NeurIPS 2018)

Curriculum Learning by Dynamic Instance Hardness (NeurIPS 2020)

Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Code and paper for "Minimax Curriculum Learning" (ICLR 2018)

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch