Stars
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 ;)
A game theoretic approach to explain the output of any machine learning model.
The fastai book, published as Jupyter Notebooks
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Deep Learning Specialization by Andrew Ng on Coursera.
A scikit-learn compatible neural network library that wraps PyTorch
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Technical Analysis Library using Pandas and Numpy
Scenarios, tutorials and demos for Autonomous Driving
subpixel: A subpixel convnet for super resolution with Tensorflow
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.
A framework for data augmentation for 2D and 3D image classification and segmentation
bamboolib - a GUI for pandas DataFrames
Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
[NeurIPS 2021] You Only Look at One Sequence
Natural Intelligence is still a pretty good idea.
Keras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version
Pytorch implementation of Augmented Neural ODEs 🌻
Deep face recognition with Keras, Dlib and OpenCV
Continual Learning tutorials and demo running on Google Colaboratory.
Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch
What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are…