Everything about the SmolLM & SmolLM2 family of models

REST API for computing cross-modal similarity between images and text using the ColPaLI vision-language model

Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer

AdalFlow: The library to build & auto-optimize LLM applications.

A great intro dataset for data exploration & visualization (alternative to iris).

Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers

Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2024)

An Open Large Reasoning Model for Real-World Solutions

Automatically update arXiv papers about SOT & VLT, Multi-modal Learning, LLM and Video Understanding using Github Actions.

Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"

Uniform Manifold Approximation and Projection

The official implementation of MARS: Unleashing the Power of Variance Reduction for Training Large Models

pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai

This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects.

Training Sparse Autoencoders on Language Models

Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).

Official implementation of "WhisperNER: Unified Open Named Entity and Speech Recognition"

A complete end-to-end pipeline for LLM interpretability with sparse autoencoders (SAEs) using Llama 3.2, written in pure PyTorch and fully reproducible.

User-friendly Desktop Client App for AI Models/LLMs (GPT, Claude, Gemini, Ollama...)

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

Building modular LMs with parameter-efficient fine-tuning.

Notes on Diffy Qs, a textbook for differential equations

LLM KV cache compression made easy

Automatic Evals for Instruction-Tuned Models

My personal page

An open-source containers-as-microVMs orchestrator.

An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more