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Name: Abhishek Bhatt
Type: User
Location: Western Mass
Name: Abhishek Bhatt
Type: User
Location: Western Mass
Config files for my GitHub profile.
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
Concise and beautiful algorithms written in Julia
A simple calculator for demo
forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
Course Files for Complete Python 3 Bootcamp Course on Udemy
A Code-First Introduction to NLP course
Julia code for visualization of Covid-19 Data
CUDA programming in Julia.
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)
The fastai book, published as Jupyter Notebooks
The hands-on NLTK tutorial for NLP in Python
This repo contains all the RL related code I have written and will write in my livestreams at youtube.com/c/jack_of_some
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
LAPACK development repository
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
model framework for ml
A 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
This is an example repository!
This is an example julia package
This is an example repository!
This is the complete code for Naive Weather Bot built on top of the RASA framework
learning the solution operator for partial differential equations in pure Julia.
OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
No need to train, he's a smooth operator
High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.