Stars
An open-source framework for machine learning and other computations on decentralized data.
Resource scheduling and cluster management for AI
All-in-one solution for creating networked applications with RPC, pub/sub, server deployment, and more.
Best Practices on Recommendation Systems
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Fast and Accurate ML in 3 Lines of Code
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
A simple deep learning framework in pure python for purpose of learning in DL
oneAPI Deep Neural Network Library (oneDNN)
Pure python implementation of product quantization for nearest neighbor search
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
FIL backend for the Triton Inference Server
Visualizer for neural network, deep learning and machine learning models
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
李宏毅2021/2022/2023春季机器学习课程课件及作业
Transformer related optimization, including BERT, GPT