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All Algorithms implemented in Python
Models and examples built with TensorFlow
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
A generative speech model for daily dialogue.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
Build multi-modal Agents with memory, knowledge, tools and reasoning. Chat with them using a beautiful Agent UI.
Image augmentation for machine learning experiments.
Question and Answer based on Anything.
Machine Learning Engineering Open Book
A paper list of object detection using deep learning.
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Anomaly detection related books, papers, videos, and toolboxes
Netflix-level subtitle cutting, translation, alignment, and even dubbing - one-click fully automated AI video subtitle team | Netflix级字幕切割、翻译、对齐、甚至加上配音，一键全自动视频搬运AI字幕组
Collection of Open Source Projects Related to GPT，GPT相关开源项目合集🚀、精选🔥🔥
Play couplet with seq2seq model. 用深度学习对对联。
Image augmentation library in Python for machine learning.
Most popular metrics used to evaluate object detection algorithms.
A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF
「画像処理100本ノック」中文版本！为图像处理初学者设计的 100 个问题。
A generative AI extension for JupyterLab
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
Paper and implementation of UNet-related model.
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-…