Lists (13)
Stars
Model components of the Llama Stack APIs
High accuracy RAG for answering questions from scientific documents with citations
AI-Driven Research Assistant: An advanced multi-agent system for automating complex research processes. Leveraging LangChain, OpenAI GPT, and LangGraph, this tool streamlines hypothesis generation,…
A high-throughput and memory-efficient inference and serving engine for LLMs
Perform data science on data that remains in someone else's server
[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
TF-ID: Table/Figure IDentifier for academic papers
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
🎼 Integrate multiple high-dimensional datasets with fuzzy k-means and locally linear adjustments.
Fit interpretable models. Explain blackbox machine learning.
Official implementation for Sparse Multimodal Fusion with Modal Channel Attention
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…
R package for Pathway RespOnsive GENe activity inference
Open source platform for the machine learning lifecycle
Lecture materials "Bio-image analysis, biostatistics, programming and machine learning for computational biology" at the Center of Molecular and Cellular Bioengineering (CMCB) / University of Techn…
Graphormer is a general-purpose deep learning backbone for molecular modeling.
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Meditron is a suite of open-source medical Large Language Models (LLMs).
My personal list of useful R packages for my work as a life science scientist
Generation of protein sequences and evolutionary alignments via discrete diffusion models