Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
There are 58,183 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
List of Computer Science courses with video lectures.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
The Julia Programming Language
100 Days of ML Coding
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.
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
💫 Industrial-strength Natural Language Processing (NLP) in Python
The most cited deep learning papers
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
AI-Powered Photos App for the Decentralized Web 🌈💎✨
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
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.
Roadmap to becoming an Artificial Intelligence Expert in 2022
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
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.
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.