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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
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.
Code for "Reverse-Engineering The Transition Regions of Real-World DJ Mixes using Sub-band Analysis with Convex Optimization" NIME 2021
phoneme tokenizer and grapheme-to-phoneme model for 8k languages
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 repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
A generative algorithm for music composition based on jazz theory
Poetry generator by gpt-2 with meter and rhyme constraints.
Serve any model without boilerplate code
To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax probability for a neural network).
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
A machine learning toolkit dedicated to time-series data
TTS Generation Web UI (Bark, MusicGen + AudioGen, Tortoise, RVC, Vocos, Demucs)
Text-to-Speech (TTS) enables developers to synthesize natural-sounding speech with many voices, available in multiple languages and variants. It provides a high fidelity audio. With this easy-to-use script, you can create lifelike interactions with your users, across many applications and devices.
[CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution
PyTorch Implementation of ECCV 2020 Spotlight "TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images"
Tools for understanding how transformer predictions are built layer-by-layer
A playbook for systematically maximizing the performance of deep learning models.
Tuplex is a parallel big data processing framework that runs data science pipelines written in Python at the speed of compiled code. Tuplex has similar Python APIs to Apache Spark or Dask, but rather than invoking the Python interpreter, Tuplex generates optimized LLVM bytecode for the given pipeline and input data set.
Turbopilot is an open source large-language-model based code completion engine that runs locally on CPU
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.