Popular GitHub Repositories for Heap Snapshot

A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.

一个网页书签和快照服务

Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)

yc-360 Script is a lightweight diagnostic script that captures comprehensive troubleshooting artifacts (like Application logs, GC logs, thread dumps, heap dumps, OS-level metrics) from environments like Linux, Windows, Docker, Kubernetes, and OpenShift.

In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CNN model and Residual Neural Network.

Collection of PDF parsing libraries like AI based docling, claude, openai, llama-vision, unstructured-io, and pdfminer, pymupdf, pdfplumber etc for efficient snapshot, text, table, and metadata extraction.

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

? Jupyter Notebooks extension for versioning, managing and sharing notebook checkpoints in your machine learning and data science projects.

"Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding" (MICCAI 2023)

Keras implementation (tensorflow backend) of natural language inference

[NeurIPS 2024] MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging

Read what your Raspberry Pi sees (picamera + Azure Cognitive / IoT)

JellyML is an open-source tool (python API and command line) for effortlessly embedding a snapshot of your code into a checkpoint of a pytorch (and pytorch lightning) model.

This is a sliding puzzle game with AI solution finder. The solution employs a minimum priority queue (binary heap) coupled with an A* algorithm.

Monte Carlo simulation of Ising model, and training a CNN in PyTorch to classify snapshot images. Comparison with binary classification algorithms in scikit-learn.

A C++ linked list implementation with detailed heap/stack memory visualization and pointer heavy work

C++ Custom Memory Allocator using FreeRTOS Heap

Using SqueezeNet to classify video frames coming from a webcam or a smartphone camera

一个堆内存分配器