E-crls

E-crls's Stars

• fernandosola/llm2govbr-publlm-aaai24

  Some code and extra information about the paper "Continued pre-training of LLMs for Portuguese and Government domain: A proposal for product identification in textual purchase descriptions"

  Language:Python91

• dvzk1/R2CV

  Road 2 Computer Vision, um projeto de estudantes, para estudantes interessados na área de visão computacional

  Language:Jupyter Notebook124

• NASA-IMPACT/hls-foundation-os

  This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.

  Language:Jupyter Notebook32983

• yangchris11/samurai

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

  Language:Python6.3k387

• ziqi-jin/finetune-anything

  Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios

  Language:Python79959

• qwopqwop200/lama-with-maskdino

  automatic image inpainting (lama(with refinement) and maskdino)

  Language:Python386

• andy971022/auto-lama

  Language:Python1019

• enkaranfiles/Machine-Learning-Engineer-Roadmap

  this is for myself, development roadmap

  13622

• cozygene/SLIViT

  An AI framework for clinical diagnosis of 3D biomedical scans

  Language:Python8821

• ibm-granite/granite-tsfm

  Foundation Models for Time Series

  Language:Jupyter Notebook469192

• RogerNi/MoLE

  Language:Python271

• facebookresearch/hydra

  Hydra is a framework for elegantly configuring complex applications

  Language:Python8.9k650

• pedroslopez/whatsapp-web.js

  A WhatsApp client library for NodeJS that connects through the WhatsApp Web browser app

  Language:JavaScript15.9k3.8k

• iongpt/LLM-for-Whatsapp

  WhatsApp client with LLM integration. It support OpenAI API and also local LLMs

  Language:JavaScript11813

• balmacefa/whatsapp-web.js-GPT

  Language:TypeScript2

• Matt-Fontes/SendScriptWhatsApp

  Script para enviar o Roteiro do filme Shrek, linha por linha, no WhatsApp

  Language:JavaScript3.2k1.4k

• frdel/agent-zero

  Agent Zero AI framework

  Language:Python5.3k1.2k

• SJTU-LuHe/TransVOD

  The repository is the code for the paper "End-to-End Video Object Detection with Spatial-TemporalTransformers"

  Language:Python22030

• e2b-dev/awesome-ai-agents

  A list of AI autonomous agents

  12.9k970

• benitomartin/crewai-rag-langchain-qdrant

  Agentic RAG with Langchain, Qdrant and CrewAI

  Language:Jupyter Notebook438

• IDEA-Research/awesome-detection-transformer

  Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)

  1.3k113

• obss/sahi

  Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

  Language:Python4.2k613

• merveenoyan/smol-vision

  Recipes for shrinking, optimizing, customizing cutting edge vision models. 💜

  Language:Jupyter Notebook1.1k97

• Stability-AI/stable-audio-tools

  Generative models for conditional audio generation

  Language:Python2.8k276

• google-research/big_vision

  Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.

  Language:Jupyter Notebook2.5k162

• crewAIInc/crewAI

  Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

  Language:Python24.5k3.3k

• xinntao/ESRGAN

  ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

  Language:Python6.1k1.1k

• adithya-s-k/YoloGemma

  Testing and evaluating the capabilities of Vision-Language models (PaliGemma) in performing computer vision tasks such as object detection and segmentation.

  Language:Python796

• showlab/Awesome-MLLM-Hallucination

  📖 A curated list of resources dedicated to hallucination of multimodal large language models (MLLM).

  54920

• Nixtla/nixtla

  TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

  Language:Jupyter Notebook2.4k203