techthiyanes Goto Github PK
Name: Thiya
Type: User
Bio: Data Scientist
Location: Bengaluru
Name: Thiya
Type: User
Bio: Data Scientist
Location: Bengaluru
标注自己的数据集,训练、评估、测试、部署自己的人工智能算法
🐸 - A general purpose model trainer, as flexible as it gets
Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.
Train a state-of-the-art yolov3 object detector from scratch!
Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing
English-Cantonese Translation Model
Source code for the paper "Improving Knowledge-aware Dialogue Generation via Knowledge Base Question Answering".
Transfer Learning Library for Domain Adaptation and Model Adaptation.
NLP library designed for reproducible experimentation management
Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratch, and testing them on a variety of datasets (transfer learning)
Everything about Transfer Learning and Domain Adaptation--迁移学习
Deep Transfer Reinforcement Learning for Text Summarization
Language Modeling + Transfer Learning demo using the GPT-2 Transformer architecture.
Understanding the Difficulty of Training Transformers
Measuring the Mixing of Contextual Information in the Transformer
[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
A Tensorflow implementation of a Transformer model and how to train it on AWS SageMaker to solve a NMT task
Reimplementation of a BERT based model (Shi et al, 2019), currently the state-of-the-art for English SRL. This model implements also predicate disambiguation.
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
🤗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
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.