All Algorithms implemented in Python

Models and examples built with TensorFlow

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TensorFlow code and pre-trained models for BERT

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Cross-platform, fast, feature-rich, GPU based terminal

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Best Practices on Recommendation Systems

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

Open standard for machine learning interoperability

Zipline, a Pythonic Algorithmic Trading Library

🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your d…

Multilingual Sentence & Image Embeddings with BERT

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

A very simple framework for state-of-the-art Natural Language Processing (NLP)

Face recognition using Tensorflow

Open deep learning compiler stack for cpu, gpu and specialized accelerators

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

手写实现李航《统计学习方法》书中全部算法

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…

Run any open-source LLMs, such as Llama 3.1, Gemma, as OpenAI compatible API endpoint in the cloud.

AutoML library for deep learning

Running large language models on a single GPU for throughput-oriented scenarios.