khanx169
Physics grad student at the University of Illinois, Urbana-Champaign
National Center for Supercomputing ApplicationsChampaign, IL
khanx169's Stars
christianversloot/machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
ariannedee/oop-python
Object-Oriented Programming in Python
TikhonJelvis/RL-book
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
paulorauber/pgm
Probabilistic graphical models in python
lindermanlab/ssm
Bayesian learning and inference for state space models
mattjj/pyhsmm
AI4Finance-Foundation/FinRL
FinRL: Financial Reinforcement Learning. 🔥
AI4Finance-Foundation/FinRL-Trading
For trading. Please star.
janosh/awesome-normalizing-flows
Awesome resources on normalizing flows.
aqlaboratory/openfold
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
fchollet/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
sktime/sktime
A unified framework for machine learning with time series
DeepReinforcementLearning/DeepReinforcementLearningInAction
Code from the Deep Reinforcement Learning in Action book from Manning, Inc
tensorchiefs/dl_book
legend
openai/glow
Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"
lucidrains/g-mlp-pytorch
Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch
Unity-Technologies/barracuda-release
DLHub-Argonne/blackhole-mergers
Publication code for a model to infer properties of black holes from gravitational waves
jbmouret/matplotlib_for_papers
Handout for the tutorial "Creating publication-quality figures with matplotlib"
google-deepmind/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
si2-urssi/winterschool
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
Xilinx/ml-suite
Getting Started with Xilinx ML Suite
dsgiitr/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
utkuozbulak/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
udacity/Full-Stack-Foundations
Solution Code to Full Stack Foundations (ud088)
pytorch/ignite
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
udacity/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
fonnesbeck/Bios8366
Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics