techthiyanes Goto Github PK
Name: Thiya
Type: User
Bio: Data Scientist
Location: Bengaluru
Name: Thiya
Type: User
Bio: Data Scientist
Location: Bengaluru
proof of concept for a transformer-based time series prediction model
A library for making Transformer Variational Autoencoders. (Extends the Huggingface/transformers library.)
A walkthrough of transformer architecture code
A library to conduct ranking experiments with transformers.
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
Implementations of transformer models in pytorch
Fast Inference Solutions for BLOOM
Adapt Transformer-based language models to new text domains
All my experiments with the various transformers and various transformer frameworks available
Under the hood working of transformers, fine-tuning GPT-3 models, DeBERTa, vision models, and the start of Metaverse, using a variety of NLP platforms: Hugging Face, OpenAI API, Trax, and AllenNLP
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
Resources regarding Transformers library
A quick recipe to learn all about Transformers
This repository contains demos I made with the Transformers library by HuggingFace.
Github repo with tutorials to fine tune transformers for diff NLP tasks
An implementation that downstreams pre-trained V+L models to VQA tasks. Now support: VisualBERT, LXMERT, and UNITER
Julia Implementation of Transformer models
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.
Techniques used to run BLOOM at inference in parallel
The repository will contain a list of projects which we will work on while reading the books of Natural Language Processing & Transformers.
Transformer LIbrary Docker Stacks
Transformers without Tears: Improving the Normalization of Self-Attention
Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
Self-supervised learning by predicting geometric transformations
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.