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The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use thโฆ
Pipeline to train a multi-label smoke detection network. Code submission for the ProjectX 2020 machine learning competition.
Computer vision library for wildfire detection ๐ฒ Deep learning models in PyTorch & ONNX for inference on edge devices (e.g. Raspberry Pi)
PyTorch approach to object detection of wildifre smoke with Faster R-CNN inception v2 and SSD Mobilenet v2 Models and detailed comparative analysis between each other.
Code release for ConvNeXt V2 model
AlexeyAB / darknet
Forked from pjreddie/darknetYOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Some improvements (center sample) about FCOS (FCOS: Fully Convolutional One-Stage Object Detection).
Object detection, 3D detection, and pose estimation using center point detection:
Calculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos maโฆ
18 Lessons, Get Started Building with Generative AI ๐ https://microsoft.github.io/generative-ai-for-beginners/
YOLOv10: Real-Time End-to-End Object Detection
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
A benchmark for the next generation of data-driven global weather models.
๋จธ์ ๋ฌ๋ ์ ๋ฌธ์ ํน์ ์คํฐ๋๋ฅผ ์ค๋นํ์๋ ๋ถ๋ค์๊ฒ ๋์์ด ๋๊ณ ์ ๋ง๋ repository์ ๋๋ค. (This repository is intented for helping whom are interested in machine learning study)
The repo for studying and sharing diffusion models.
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Official PyTorch codes of CVPR2022 Oral: Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization
[NeurIPS 2023] Official implementation of "PreDiff: Precipitation Nowcasting with Latent Diffusion Models"
Open-source demos hosted on Dash Gallery
A survey and paper list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).
A comprehesive survey about foundation models for weather and cliamte data understanding.
Code for paper "Multiple Physics Pretraining for Physical Surrogate Models
Must-read papers, related blogs and API tools on the pre-training and tuning methods for ChatGPT.
RainNet: a convolutional neural network for radar-based precipitation nowcasting