Cam Linke's starred repositories
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
ML-Papers-Explained
Explanation to key concepts in ML
FriendsDontLetFriends
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
python-patterns
A collection of design patterns/idioms in Python
Jupyter_Dock
Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results.
cs-video-courses
List of Computer Science courses with video lectures.
cheatsheets
Official Matplotlib cheat sheets
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
decisionmaking
Algorithms for Decision Making textbook
revisiting_rainbow
Revisiting Rainbow
machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
python-is-cool
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
Deep-learning-in-cloud
List of Deep Learning Cloud Providers
data-science-interviews
Data science interview questions and answers
deeplearning-models
A collection of various deep learning architectures, models, and tips
deeplearning-biology
A list of deep learning implementations in biology
Deep-Drug-Coder
A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.
smiles-transformer
Original implementation of the paper "SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery" by Shion Honda et al.
ReinforcementLearningEnvironments.jl
A one-stop package for different reinforcement learning environments
chemical_vae
Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow
KinFragLib
Kinase-focused fragment library