Synthetic data generation and benchmark implementation for "Episodic Memories Generation and Evaluation Benchmark for Large Language Models" [ICLR 2025]

Must-read Papers on LLM Agents.

This is a repository that implements the Dense NN Retrieval Evaluation used for evaluating the In-Context Learning Capabilities of Vision Encoders.

This repository provides workflows for efficiently performing Hyperparameter Optimization (HPO) on HPC clusters. Designed for large-scale ML experiments, it leverages Ray Tune and Optuna while inte…

The LUMI AI Guide is designed to assist users in migrating their machine learning applications from smaller-scale computing environments to the LUMI supercomputer.

Time-Contrastive Learning

Permutation-Contrastive Learning

This repo contains the official implementation of ICLR 2024 paper "Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video""

A python library for self-supervised learning on images.

Grouped Causal Representation Learning (G-CaRL)

Parse and visualize asf/amc files from CMU MoCap dataset.

Matlab software for processing motion capture files.

Kalman Variational Auto-Encoder

Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning.

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Nonparametric Differential Equation Modeling

"Deep Generative Modeling": Introductory Examples

Variational Bayes for Point Processes: implementation of Lloyd et al. (2015) on top of GPflow

fast parameter estimation for simpler Hawkes processes

Implementations of various VAE-based semi-supervised and generative models in PyTorch

code for simple geneative MMSB model

My implementation of the Gaussian Mixture Model (GMM).

Gaussian Mixture Models in Python