Krishna Bhogaonker's starred repositories
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
osrm-backend
Open Source Routing Machine - C++ backend
lightning-hydra-template
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
DifferentialEquations.jl
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
tensorflow-DeepFM
Tensorflow implementation of DeepFM for CTR prediction.
keras-yolo2
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
ModelingToolkit.jl
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
ForwardDiff.jl
Forward Mode Automatic Differentiation for Julia
algforopt-notebooks
Jupyter notebooks associated with the Algorithms for Optimization textbook
emacs-easy-hugo
Emacs major mode for managing hugo
vod-converter
Convert between visual object detection datasets
dl3d-seminar
Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data
universal_differential_equations
Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML
LatexDiagrams
Latex Diagrams that I have generated/taken from internet.
awesome-drug-discovery
A collection of drug discovery, classification and representation learning papers with deep learning.
DifferenceEquations.jl
Solving difference equations with DifferenceEquations.jl and the SciML ecosystem.
ML-Coursera-Ex
Machine Learning Coursera exercises