Popular GitHub Repositories for Group Aware Smote

Context aware, pluggable and customizable data protection and de-identification SDK for text and images

A Streamlit-powered Chat Assistant utilizing Ollama's DeepSeek-R1 (1.5B) model for intelligent, context-aware conversations. Designed with an interactive chat interface, adjustable model parameters. It leverages Ollama for local model serving and Streamlit for a responsive UI for text-based interactions.

Sparsity-aware deep learning inference runtime for CPUs

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet

HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance

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-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

A Python package to assess and improve fairness of machine learning models.

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

OpenSPG is a Knowledge Graph Engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework. Core Capabilities: 1) domain model constrained knowledge modeling, 2) facts and logic fused representation, 3) natively support KAG...

A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

[ICCV 2023] StableVideo: Text-driven Consistency-aware Diffusion Video Editing

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

R-KV: Redundancy-aware KV Cache Compression for Reasoning Models

Neural Network Compression Framework for enhanced OpenVINO? inference

A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond

Official code for CVPR2022 paper: Depth-Aware Generative Adversarial Network for Talking Head Video Generation