Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
created at March 31, 2019, 12:45 a.m.
Visualizer for neural network, deep learning and machine learning models
created at Dec. 26, 2010, 12:53 p.m.
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.
created at Jan. 23, 2015, 7:38 p.m.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
created at Jan. 14, 2013, 3:46 p.m.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
created at Oct. 5, 2017, 5:32 p.m.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
created at Feb. 16, 2016, 7:48 p.m.
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.
created at Feb. 5, 2017, 12:11 p.m.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
created at Nov. 1, 2018, 4:34 a.m.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
created at June 30, 2012, 6:39 p.m.
Graph Neural Network Library for PyTorch
created at Oct. 6, 2017, 4:03 p.m.