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Name: J
Type: User
Bio: Exploring the intersection of AI, deep learning, and art. Passionate about pushing the boundaries of multi-media production and beyond. #AIArt
Name: J
Type: User
Bio: Exploring the intersection of AI, deep learning, and art. Passionate about pushing the boundaries of multi-media production and beyond. #AIArt
Python scripts for modelling timbral attributes
You like pytorch? You like micrograd? You love tinygrad! ❤️
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
This technique extends on existing tone mapping algorithms by making the brightest areas emit a glow. To do this, the bloom shader effect is used. We take the image with the lowest exposure value, and perform convolution on it with a given kernel.
TOOD: Task-aligned One-stage Object Detection, ICCV2021 Oral
Implementation of Toolformer, Language Models That Can Use Tools, by MetaAI
Compilation of the state of the art of tools, articles, forums and links of interest to generate and detect any type of synthetic content using deep learning.
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM)
A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.
Pitch-shift audio clips quickly with PyTorch (CUDA supported)! Additional utilities for searching efficient transformations are included.
Pytorch implementation of the CREPE pitch tracker
Highly Modular and Scalable Reinforcement Learning
Transformers at any scale
A GPU-optional modular synthesizer in pytorch, 16200x faster than realtime, for audio ML researchers.
A multi-voice TTS system trained with an emphasis on quality
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A given song is splitted by instrument and bars generating multiple loops
Tensorflow implementation of CNN described in https://arxiv.org/abs/1806.09594
NLP library designed for flexible research and development
A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
Run 🤗 Transformers in your browser!
Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
🤖💬 Transformer TTS: Implementation of a non-autoregressive Transformer based neural network for text to speech.
Transforming Autoencoder (Hinton et al.) implementation in TensorFlow. A way to get hands dirty with Hinton's capsules.
Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
Development repository for the Triton language and compiler
Train transformer language models with reinforcement learning.
A generative algorithm for music composition based on jazz theory
Poetry generator by gpt-2 with meter and rhyme constraints.
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.