MrChristophRivera
Biochemist/Machine Learning Scientist currently in Biotech. Ex Amazon Ex Intuit.
AmazonSan Diego
Pinned Repositories
18S191
Course 18.S191 at MIT, Spring 2021 - Introduction to computational thinking with Julia:
advml2020
Advanced Topics in Statistical Machine Learning, Oxford Statistics, Hilary Term 2020
AIND-Isolation
This is the Chris Rivera's fork of the Isolation project from Udacity.
AIND-NLP
Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.
AIND-Planning
AIND-Recognizer
ClassifiyingFish
This is CATT_Datascience repo for classifying fish.
Growth
Python scripts for analyzing Growth Curves from a Tecan
MrChristophRivera's Repositories
MrChristophRivera/18S191
Course 18.S191 at MIT, Spring 2021 - Introduction to computational thinking with Julia:
MrChristophRivera/advml2020
Advanced Topics in Statistical Machine Learning, Oxford Statistics, Hilary Term 2020
MrChristophRivera/AIND-NLP
Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.
MrChristophRivera/aind2-rnn
Project materials for RNN segment of AIND nanodegree
MrChristophRivera/am207
MrChristophRivera/annotated_deep_learning_paper_implementations
🧑🏫 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit), optimizers (adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, etc. 🧠
MrChristophRivera/cookbook-2nd
IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
MrChristophRivera/course-v3
The 3rd edition of course.fast.ai
MrChristophRivera/course22
The fast.ai course notebooks
MrChristophRivera/CourseNotebooks
MrChristophRivera/covid-19-data
An ongoing repository of data on coronavirus cases and deaths in the U.S.
MrChristophRivera/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
MrChristophRivera/deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
MrChristophRivera/dog-project
MrChristophRivera/intro-to-dl
Resources for "Introduction to Deep Learning" course.
MrChristophRivera/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
MrChristophRivera/karateclub
A general purpose community detection and network embedding library for research built on NetworkX.
MrChristophRivera/MachineLearning_notes
Machine learning and deep learning resources
MrChristophRivera/MIT18303
18.303 - Linear PDEs course
MrChristophRivera/MIT18330_numerical_analysis
18.330 Introduction to Numerical Analysis
MrChristophRivera/ModSimPy
Text and supporting code for Modeling and Simulation in Python
MrChristophRivera/pbdl-book
Welcome to the Physics-based Deep Learning Book (v0.2)
MrChristophRivera/Perspective_Julia_for_Biologists
Online material for the Perspective: "Julia for Biologists" presented at JuliaCon 2021: https://www.youtube.com/watch?v=gRj7E5kYG1I
MrChristophRivera/pygcn
Graph Convolutional Networks in PyTorch
MrChristophRivera/recommenders
Best Practices on Recommendation Systems
MrChristophRivera/SciMLBook
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
MrChristophRivera/stat133-fall-2019
Course materials for Stat 133, Fall 2019, at UC Berkeley
MrChristophRivera/stat_rethinking_2024
MrChristophRivera/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
MrChristophRivera/tutorials
Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.