Stars
The simplest way to serve AI/ML models in production
Microsoft and GitHub Workers Support 996.ICU
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
Classic papers and resources on recommendation
Implementation and experiments of graph embedding algorithms.
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch…
Apache Beam is a unified programming model for Batch and Streaming data processing.
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discr…
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
Tensorflow implementations of various Deep Semantic Matching Models (DSMM).
Implementation of papers for text classification task on DBpedia
A natural language modeling framework based on PyTorch
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Notes talking about the design and implementation of Apache Spark
Opinion Extraction based on Amazon Reviews
semantic similarity framework for knowledge graph
Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings
A curated list of papers dedicated to neural text (semantic) matching.