Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
There are 55,536 repositories under machine-learning topic.
An Open Source Machine Learning Framework for Everyone
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Deep Learning for humans
scikit-learn: machine learning in Python
Tesseract Open Source OCR Engine (main repository)
The world's simplest facial recognition api for Python and the command line
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Deepfakes Software For All
The Julia Programming Language
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
100 Days of ML Coding
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
List of Computer Science courses with video lectures.
DeepFaceLab is the leading software for creating deepfakes.
Learn how to responsibly deliver value with ML.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
A complete daily plan for studying to become a machine learning engineer.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
The most cited deep learning papers
💫 Industrial-strength Natural Language Processing (NLP) in Python
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
The fastai deep learning library
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
AI-Powered Photos App for the Decentralized Web 🌈💎✨
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Roadmap to becoming an Artificial Intelligence Expert in 2022
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.