🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
created at Nov. 1, 2018, 4:34 a.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.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
created at Feb. 16, 2016, 7:48 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.
Visualizer for neural network, deep learning and machine learning models
created at Dec. 26, 2010, 12:53 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.
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.
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
created at March 31, 2019, 12:45 a.m.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
created at Sept. 5, 2019, 9:30 p.m.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
created at Dec. 19, 2018, 8:24 a.m.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
created at Feb. 2, 2019, 5:51 a.m.
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
created at April 24, 2017, 2:06 p.m.
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.
created at Oct. 25, 2016, 7:38 p.m.