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[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation
Learn how to design, develop, deploy and iterate on production-grade ML applications.
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)
Flops counter for convolutional networks in pytorch framework
Collection of common code that's shared among different research projects in FAIR computer vision team.
A general and accurate MACs / FLOPs profiler for PyTorch models
Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
A curated list of awesome TikZ documentations, libraries and resources
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
A Python package for easy multiprocessing, but faster than multiprocessing
Algorithm and data structure articles for https://cp-algorithms.com (based on http://e-maxx.ru)
LaTeX support for Adobe's Pro opentype fonts: Minion Pro, Myriad Pro, Cronos Pro and possibly more
CAD files for various boards, components and parts
Cross-platform, customizable ML solutions for live and streaming media.
SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.
AI driven development in your terminal. Designed for large, real-world tasks.