Ensemble-based, size-agnostic wrapper for the TabPFN classifier

Bayesian Approximation of RNA Folding Kinetics using Prior-Data Fitted Networks

Real-time webcam demo with SmolVLM and llama.cpp server

Open Source Application for Advanced LLM + Diffusion Engineering: interact, train, fine-tune, and evaluate large language models on your own computer.

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.

[ICLR'25] Code for KaSA, an official implementation of "KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models"

Generate a comprehensive review from an arXiv paper, then turn it into a blog post. This project powers the website below for the HuggingFace's Daily Papers (https://huggingface.co/papers).

Mamba4Cast, a zero-shot time series forecasting model, achieves competitive performance and faster inference than transformer-based models by leveraging Mamba architecture and synthetic training da…

Implementation of xLSTM in Pytorch from the paper: "xLSTM: Extended Long Short-Term Memory"

🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN

Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling

An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]

The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transformer models.

Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous …

Implementation of Alpha Fold 3 from the paper: "Accurate structure prediction of biomolecular interactions with AlphaFold3" in PyTorch

The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling

[TKDE'25] The official source code for "BARec: Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation with Pre-training"

CodeUp: A Multilingual Code Generation Llama-X Model with Parameter-Efficient Instruction-Tuning

Graph signal processing tutorial, presented at the GraphSiP summer school.

Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

📚 A curated list of papers for Software Engineers

The official gpt4free repository | various collection of powerful language models | o4, o3 and deepseek r1, gpt-4.1, gemini 2.5

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

A collection of important graph embedding, classification and representation learning papers with implementations.

Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.

Graph-based weather forecasting models. Originally, PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)

A library of data interpolation and smoothing functions