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Machine Learning
Models and examples built with TensorFlow
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A curated list of awesome Machine Learning frameworks, libraries and software.
scikit-learn: machine learning in Python
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
TensorFlow code and pre-trained models for BERT
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
💫 Industrial-strength Natural Language Processing (NLP) in Python
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Code for the paper "Language Models are Unsupervised Multitask Learners"
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Code samples for my book "Neural Networks and Deep Learning"
The open source AI engineering platform. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI agents, LLM applications, and ML models while controlling …
TensorFlow-based neural network library
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.