neuron-vision

neuron-vision's Stars

• deepchecks/deepchecks

  Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

  Language:Python3.6k253

• NNLP-IL/HebrewSentiment

  1

• NirDiamant/RAG_Techniques

  This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

  Language:Jupyter Notebook8.8k904

• axolotl-ai-cloud/axolotl

  Go ahead and axolotl questions

  Language:Python8k881

• instructor-ai/instructor

  structured outputs for llms

  Language:Python8.3k662

• guoyww/AnimateDiff

  Official implementation of AnimateDiff.

  Language:Python10.6k874

• AlmogBaku/openai-streaming

  Work with OpenAI's streaming API at ease with Python generators

  Language:Python1188

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook95.4k15.5k

• ZrrSkywalker/Personalize-SAM

  Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds

  Language:Python1.5k104

• gkamradt/LLMTest_NeedleInAHaystack

  Doing simple retrieval from LLM models at various context lengths to measure accuracy

  Language:Jupyter Notebook1.6k169

• CASIA-IVA-Lab/FastSAM

  Fast Segment Anything

  Language:Python7.5k711

• elsevierlabs-os/clip-image-search

  Fine-tuning OpenAI CLIP Model for Image Search on medical images

  Language:Python745

• z-x-yang/Segment-and-Track-Anything

  An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

  Language:Jupyter Notebook2.9k343

• neuron-vision/azure-openai-in-a-day-workshop

  Language:Jupyter Notebook310

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook47.8k5.7k

• supervisely-ecosystem/ritm-interactive-segmentation

  Reviving Iterative Training with Mask Guidance for Interactive Segmentation

  Language:Python72

• ShirAmir/dino-vit-features

  Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".

  Language:Python40047

• TensorOpsAI/LLMstudio

  Framework to bring LLM applications to production

  Language:Python27530

• graphdeco-inria/gaussian-splatting

  Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

  Language:Python14.8k1.9k

• amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging

  Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

  1.6k148

• LPDI-EPFL/masif

  MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.

  Language:Python596157

• omerbt/TokenFlow

  Official Pytorch Implementation for "TokenFlow: Consistent Diffusion Features for Consistent Video Editing" presenting "TokenFlow" (ICLR 2024)

  Language:Python1.6k137

• monalabs/mona-openai

  Language:Python932

• neuron-vision/shoreshnizer

  Hebrew/Arabic semantic tokenizer utilizing root based words.

  Language:Python1

• eyalmazuz/MolGen

  Language:Python173

• artidoro/qlora

  QLoRA: Efficient Finetuning of Quantized LLMs

  Language:Jupyter Notebook10.1k823

• google-deepmind/alphafold

  Open source code for AlphaFold 2.

  Language:Python12.9k2.3k

• lucidrains/protein-bert-pytorch

  Implementation of ProteinBERT in Pytorch

  Language:Python15322

• nadavbra/protein_bert

  Language:Jupyter Notebook497102

• orico/www.mlcompendium.com

  The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.

  2.1k226