21 Lessons, Get Started Building with Generative AI
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This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
- 3d
- computer-vision
- dynamic-scene
- gaussian-splatting
NMA Computational Neuroscience course
- neuroscience
- machine-learning
- dynamic-systems
- stochastic-processes
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
- ai
- jupyter-notebook
- llm
- python
Easily compute clip embeddings and build a clip retrieval system with them
- semantic-search
- deep-learning
- multimodal
- ai
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
- milvus
- unstructured-data
- image-search
- audio-search
3D U-Net model for volumetric semantic segmentation written in pytorch
- semantic-segmentation
- unet
- unet-pytorch
- 3d-unet
OneDiff: An out-of-the-box acceleration library for diffusion models.
- comfyui
- diffusers
- pytorch
- sdxl
SQL data analysis & visualization projects using MySQL, PostgreSQL, SQLite, Tableau, Apache Spark and pySpark.
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
- semantic-segmentation
- computer-vision
- deep-learning
[CVPR 2023] OneFormer: One Transformer to Rule Universal Image Segmentation
- ade20k
- cityscapes
- coco
- image-segmentation
Segment Anything for Microscopy
- microscopy-images
- segment-anything
- segmentation
- cell-segmentation
scPerturb: A resource and a python/R tool for single-cell perturbation data
- cite-seq
- database
- perturbation
- scatac-seq
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
- single-cell
- scrna-seq
- scatac-seq
- deep-neural-networks