Multi-agent systems, memory, planning, reasoning loops
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Multi-agent systems, memory, planning, reasoning loops
Repo for AI Agents The Definitive Guide
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
Kandinsky 2 — multilingual text2image latent diffusion model
Easily compute clip embeddings and build a clip retrieval system with them
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台,我们欢迎开源爱好者发起任何有意义的pr!
Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
The Open Source Memory Layer For Autonomous Agents
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
Benchmarking Knowledge Transfer in Lifelong Robot Learning
SDK for interacting with stability.ai APIs (e.g. stable diffusion inference)
State-of-the-art Image & Video CLIP, Multimodal Large Language Models, and More!
Multiple NVIDIA GPUs or Apple Silicon for Large Language Model Inference?
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
Reference mapping for single-cell genomics
Fusing Histology and Genomics via Deep Learning - IEEE TMI
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
Integrated pipeline for multiplexed image analysis
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
A multi-language tokenizer for extracting identifiers from source code.
Investigating multilingual language models (BERT) by using them for NER in German and English