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Rubik's cube learning tool to efficiently, effectively, and explainably generate 3-style algorithms (commutators) to take blindfold cubing to the next level.
My solutions to the 2022 advent of code puzzles - https://adventofcode.com/
A timeline of the latest AI models for audio generation, starting in 2023!
Apply diffusion models using the new Hugging Face diffusers package to synthesize music instead of images.
Audio generation using diffusion models, in PyTorch.
Tool for assisting in learning 3-cycle for blindfold speedcubing
Code to experiment with and extend the methodology and findings in the paper: "Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics"
๐ PyTorch Implementation of "Progressive Distillation for Fast Sampling of Diffusion Models(v-diffusion)"
A simple library for Frรฉchet Audio Distance (FAD) calculation
MPhil Project - Timo Hromadka
Google Research
Release for Improved Denoising Diffusion Probabilistic Models
My solutions to jane street puzzles: https://www.janestreet.com/puzzles/
L101 Project: Investigating the shifting of training dynamics across model sizes and their impact on adversarial examples
L46 Project: Using datamaps and compression techniques for efficient knowledge distillation
L90 - Practical #2 - Extractive Text Summarization Model
Tools and practice using OpenCV in python
Beginning of code taken from my student account's repo
Personal portfolio
A simple tutorial of Variational AutoEncoders with Pytorch
Investigation of the distillation technique proposed in the paper "Progressive Distillation for Fast Sampling of Diffusion Models", and its combination with latent space diffusion models.
scikit-learn: bug fix to prevent confusion matrix from being 1x1 instead of NxN
A repository for generating and training short audio samples with unconditional waveform diffusion on accessible consumer hardware (<2GB VRAM GPU)
L101 Research Project: Understanding How Training Dynamics Shift Across Model Sizes and Architectures.
L90 - Practical #3 - Abstractive Text Summarization Model using a Transformer architecture
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.