Popular GitHub Repositories for Part Aware

modest natural-language processing

LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.

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.

MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）

State of the Art Natural Language Processing

百度NLP：分词，词性标注，命名实体识别，词重要性

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

?️ Generate natural-sounding speech and clone voices without a tokenizer using VoxCPM's context-aware TTS. Experience true-to-life voice generation today.

??? Advanced NLP with spaCy: A free online course

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

Rasa Core is now part of the Rasa repo: An open source machine learning framework to automate text-and voice-based conversations

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

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

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

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.