machine-learning

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

The Self-Coding System for Your App — Alan AI SDK for Android

A large annotated semantic parsing corpus for developing natural language interfaces.

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Rust library for quantitative finance.

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Shared repository for open-sourced projects from the Google AI Language team.

Interpretability and explainability of data and machine learning models

Cross-Platform, GPU Accelerated Whisper 🏎️

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

Awesome-pytorch-list 翻译工作进行中......

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning

Large-scale linear classification, regression and ranking in Python

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Top 200 deep learning Github repositories sorted by the number of stars.

Speedy Wavenet generation using dynamic programming :zap:

Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.

自然语言处理、知识图谱、对话系统，大模型等技术研究与应用。