Stars
LLM model quantization (compression) toolkit with HW acceleration support for Nvidia, AMD, Intel GPU and Intel/AMD/Apple CPU via HF, vLLM, and SGLang.
🤗 ml-intern: an open-source ML engineer that reads papers, trains models, and ships ML models
Docker containers for running training scripts on AzureML
Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
Time series forecasting with PyTorch
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Multivariate Time Series Transformer, public version
The machine learning toolkit for time series analysis in Python
General technology for enabling AI capabilities w/ LLMs and MLLMs
Operationalize a video anomaly detection model with Azure ML
Natural Language Processing Best Practices & Examples
MLOps using Azure ML Services and Azure DevOps
A high-throughput and memory-efficient inference and serving engine for LLMs
Python bindings for the Transformer models implemented in C/C++ using GGML library.
Semantic Segmentation with Hugging Face SegFormer, PyTorch and Segments.ai
Cartridge Case Segmentation with Transfer Learning, Hugging Face pretrained model and PyTorch framework
RAG serverless function with AWS Lambda, OpenAI API and Pinecone vector database
Sentence similarity searching with SentenceTransformer
3D Human Part Segmentation with Point Transformer
Anti Money Laundering Detection using Graph Attention Network
OpenTable Reviews Classification with BERT and Transfer Learning
Collect OpenTable reviews with Web Scraping
PCD annotation processing and guideline based on Semantic Segmentation Editor
Time series forecasting on power consumption pattern with Catboost and regression model
Data Analysis and prediction on Kaggle dataset: Credit Risk Dataset