abhilashmathews Goto Github PK
Name: Abhilash Mathews
Type: User
Company: MIT
Location: Cambridge, Massachusetts
Name: Abhilash Mathews
Type: User
Company: MIT
Location: Cambridge, Massachusetts
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Modify CamStudio so that the cursor highlight is only displayed when the mouse button is pressed
Convolutional Solvers for Partial Differential Equations
Implementation of Numerical Gaussian Processes in C++
Deep learning library for solving differential equations and more
"For fun and profit."
Finite Element Solver for Parabolic Equations
Diffusion models of protein structure; trigonometry and attention are all you need!
Additional kernels that can be used with scikit-learn's Gaussian Process module
Multidimensional adaptive Gaussian process regression
A highly efficient and modular implementation of Gaussian Processes in PyTorch
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Animation engine for explanatory math videos
Interactive Markov-chain Monte Carlo javascript demo
Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)
repo for plasma simulation scripts
Protein-Ligand Interaction Profiler - Analyze and visualize non-covalent protein-ligand interactions in PDB files according to 📝 Adasme et al. (2021), https://doi.org/10.1093/nar/gkab294
TdiShr emulation in Python
Routines for tokamak analysis
Simulation of quantum optical phenomenon known as superradiance in astrophysical environments
A crash course in six episodes for software developers who want to become machine learning practitioners.
Collection of TensorFlow Examples
A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.
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.