Kaggle Kore 2022 - An autoregressive modeling approach to imitation learning
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Updated
Dec 24, 2022 - Python
Kaggle Kore 2022 - An autoregressive modeling approach to imitation learning
Code repository for "Machine Learning Predictors for Min-Entropy Estimation" (arXiv:2406.19983). Implements RCNN and GPT-2 models for entropy prediction in RNGs, with data generation, training pipelines, and analysis scripts.
Forecast of Salado River level (Santa Fe, Arg.)
Time-series forecasting tecniques applied to the stock market
PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
code for the paper "LayerDAG: A Layerwise Autoregressive Diffusion Model of Directed Acyclic Graphs"
A enhanced Open Dialogue Context Generator supported by General Language Model Pretraining with Autoregressive Blank Infilling
This is a repository for the paper: "Spontaneous variability in gamma dynamics described by a damped harmonic oscillator driven by noise" G Spyropoulos, M Saponati, JR Dowdall, ML Schölvinck, CA Bosman, B Lima, A Peter, I Onorato, J Klon-Lipok, R Roese, S Neuenschwander, W Singer, P Fries, M Vinck (2022, Nature Communications)
Assignments for the course of Intelligent Systems for Pattern Recognition (university of Pisa)
Repository for the paper "Advancing Time Series Forecasting: Variance-Aware Loss Functions in Transformers"
Octree Transformer: Autoregressive 3D Shape Generation on Hierarchically Structured Sequences - CVPRW: StruCo3D, 2023
PyTorch implementation for "Training and Inference on Any-Order Autoregressive Models the Right Way", NeurIPS 2022 Oral, TPM 2023 Best Paper Honorable Mention
Symbolic music generation taking inspiration from NLP and human composition process
dpart: General, flexible, and scalable framework for differentially private synthetic data generation, developed by hazy.
Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation
Generative model for sequential recommendation based on Convolution Neural Networks (CNN))
PDEBench: An Extensive Benchmark for Scientific Machine Learning
[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!
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