camlinke's Stars
Developer-Y/cs-video-courses
List of Computer Science courses with video lectures.
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
faif/python-patterns
A collection of design patterns/idioms in Python
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
chiphuyen/machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
alexeygrigorev/data-science-interviews
Data science interview questions and answers
dair-ai/ML-Papers-Explained
Explanation to key concepts in ML
matplotlib/cheatsheets
Official Matplotlib cheat sheets
probml/pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
cxli233/FriendsDontLetFriends
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
deepchem/deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
AppPear/ChartView
ChartView made in SwiftUI
chiphuyen/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.
hussius/deeplearning-biology
A list of deep learning implementations in biology
zszazi/Deep-learning-in-cloud
List of Deep Learning Cloud Providers
algorithmsbooks/decisionmaking
Algorithms for Decision Making textbook
aspuru-guzik-group/chemical_vae
Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow
DSPsleeporg/smiles-transformer
Original implementation of the paper "SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery" by Shion Honda et al.
AngelRuizMoreno/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.
pcko1/Deep-Drug-Coder
A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.
samsinai/FLEXS
Fitness landscape exploration sandbox for biological sequence design.
BenevolentAI/MolBERT
deepaksuresh/Grokking-Deep-Learning-with-Julia
JohanSamir/revisiting_rainbow
Revisiting Rainbow
uio-bmi/immuneML
immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.
volkamerlab/KinFragLib
Kinase-focused fragment library
JuliaReinforcementLearning/ReinforcementLearningEnvironments.jl
A one-stop package for different reinforcement learning environments
chemgymrl/chemgymrl
paulxshen/neural-ode-cartpole