techthiyanes Goto Github PK
Name: Thiya
Type: User
Bio: Data Scientist
Location: Bengaluru
Name: Thiya
Type: User
Bio: Data Scientist
Location: Bengaluru
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021
Logging makes simple. Log even the exception that you forgot to catch. Log messages from your print(msg). Support multiprocessing logging too.
Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization
Code repository for paper Instance Segmentation for Autonomous Log Grasping in Forestry Operations
Resources for the NAACL 2018 paper "A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents"
Code for NAACL 2021 full paper "Efficient Attentions for Long Document Summarization"
Longformer: The Long-Document Transformer
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi Hu, and Balaji Lakshminarayanan.
Code for the Lovász-Softmax loss (CVPR 2018)
Tensors, ready for human consumption
Threading and Multiprocessing made easy.
Minimal JAX/Flax port of `lpips` supporting `vgg16`, with pre-trained weights stored in the 🤗 Hugging Face hub.
Pytorch Implementation of our ACL 2020 Paper "Reasoning with Latent Structure Refinement for Document-Level Relation Extraction"
Data-centric declarative deep learning framework
LUKE -- Language Understanding with Knowledge-based Embeddings
PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".
Code for testing various M1 Chip benchmarks with TensorFlow.
M2D2: A Massively Multi-domain Language Modeling Dataset (EMNLP 2022) by Machel Reid, Victor Zhong, Suchin Gururangan, Luke Zettlemoyer
BERT for Multitask Learning
Multi-angle c(q)uestion answering
:earth_americas: machine learning tutorials (mainly in Python3)
Ipython Notebooks about ML
Collection of useful machine learning codes and snippets (originally intended for my personal use)
Machine Learning on Kubernetes, published by packt
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.