Jivitesh2001's Stars
ByungKwanLee/Full-Segment-Anything
This is Pytorch Implementation Code for adding new features in code of Segment-Anything. Here, the features support batch-input on the full-grid prompt (automatic mask generation) with post-processing: removing duplicated or small regions and holes, under flexible input image size
prakashjayy/image_foundations
Foundational models in Image overview
boundaryattention/boundaryattention.github.io
bowang-lab/CellSeg-Transformers
bowang-lab/MedSAM
Segment Anything in Medical Images
facebookresearch/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
microsoft/generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
RUCAIBox/DenseRetrieval
eriklindernoren/PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
MLForNerds/YOLO-OBJECT-DETECTION-TUTORIALS
milesial/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
dair-ai/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
pytorch/torchtune
PyTorch native finetuning library
PaddlePaddle/PaddleDetection
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
ritchieng/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
sudharsan13296/Getting-Started-with-Google-BERT
Build and train state-of-the-art natural language processing models using BERT
Bjarten/early-stopping-pytorch
Early stopping for PyTorch
brevdev/notebooks
Collection of notebook guides created by the Brev.dev team!
huggingface/accelerate
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
KimMeen/Awesome-GNN4TS
[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
sgrvinod/Deep-Tutorials-for-PyTorch
In-depth tutorials for implementing deep learning models on your own with PyTorch.
KimMeen/Time-LLM
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
samwit/langchain-tutorials
A set of LangChain Tutorials from my youtube channel
AI-in-Health/MedLLMsPracticalGuide
A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)
hugobowne/deep-learning-from-scratch-pytorch
Deep Learning from Scratch with PyTorch
microsoft/Web-Dev-For-Beginners
24 Lessons, 12 Weeks, Get Started as a Web Developer
ashishpatel26/Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
maziarraissi/Applied-Deep-Learning
Applied Deep Learning Course
ilmoi/MML-Book
Code / solutions for Mathematics for Machine Learning (MML Book)
parvvaresh/ML-algorithms
Here we have fully implemented a number of algorithms related to machine learning