Notebooks and code for the book "Introduction to Machine Learning with Python"
created at May 29, 2016, 6:29 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.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and 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.
Zipline, a Pythonic Algorithmic Trading Library
created at Oct. 19, 2012, 3:50 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.
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.
Code samples for my book "Neural Networks and Deep Learning"
created at Nov. 13, 2012, 1:38 p.m.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
created at Sept. 5, 2019, 9:30 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.
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
created at April 24, 2017, 2:06 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.