emacsenli
Follow
Starred repositories
32
stars
written in Jupyter Notebook
Clear filter
Python Data Science Handbook: full text in Jupyter Notebooks
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 ;)
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Public facing notes page
Official inference library for Mistral models
Automatic extraction of relevant features from time series:
Notebooks and code for the book "Introduction to Machine Learning with Python"
A collection of guides and examples for the Gemini API.
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
Quantitative research and educational materials
Implementing a Neural Network from Scratch
TensorFlow Tutorial for Time Series Prediction
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm
TensorForce Bitcoin Trading Bot
Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)
Python library for identifying the peaks and valleys of a time series.
A workshop for scientific computing in Python. ( December 2017 )
Combining Psi4 and Numpy for education and development.
Tutorial on neural theorem proving
Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704
python4ScientificComputing, Numpy, Pandas and Matplotlib
Files accompanying UW Machines Who Learn workshops
Probabilistic programming in Python workshop at Oslo universitetssykehus HF
