Stars
A collection of classified and organized top conference paper list.
The official GitHub page for the survey paper "A Survey of Large Language Models".
CoolCodeLvs / Recommended-Journals-for-intelligent-fault-diagnosis
Forked from liguge/Journals-of-Prognostics-and-Health-Management智能故障诊断期刊推荐
Mathematical Foundations for Deep Learning
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
The world’s fastest framework for building websites.
Official Implementation for "Only a Matter of Style: Age Transformation Using a Style-Based Regression Model" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02754
A playbook for systematically maximizing the performance of deep learning models.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Interpretability Methods for tf.keras models with Tensorflow 2.x
Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python
bigsai的数据结构与算法、LeetCode图解、剑指offer图解文章专栏，致力于最好懂的数据结构与算法专栏
Community-focused Decentralized Cryptocurrency Video APP like Tiktok
An Open Source Machine Learning Framework for Everyone
It is open source ebook about TensorFlow kernel and implementation mechanism.
参照网易云音乐云村做的一个小程序社区，后端技术栈为Java，SpringBoot，MySQL，Redis，前端技术栈为uni-app。欢迎吐槽。
参照知乎网做的一个简易版问答网站，后台采用Java语言，及Spring，SpringMVC，MyBatis等框架，模版引擎使用FreeMarker。数据库用到MySQL，Redis。
Halo 是一款强大易用的开源建站工具，从个人博客、知识库，到企业官网、在线商城，Halo 都能助您轻松实现，一站式满足您的多样化建站需求。
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Tensors and Dynamic neural networks in Python with strong GPU acceleration
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
BoxMOT: Pluggable Python and C++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.