natuan Goto Github PK
Name: Tuan Nguyen
Type: User
Location: Waltham, MA, USA
Name: Tuan Nguyen
Type: User
Location: Waltham, MA, USA
TensorFlow code and pre-trained models for BERT
Mapping a variable-length sentence to a fixed-length vector using BERT model
[NeurIPS 2020] "The Lottery Ticket Hypothesis for Pre-trained BERT Networks", Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Zhangyang Wang, Michael Carbin
CUAD (NeurIPS 2021)
Scikit-learn style model finetuning for NLP
Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".
Code for the book "High Performance Python" by Micha Gorelick and Ian Ozsvald with OReilly
Lime: Explaining the predictions of any machine learning classifier
Examples and recipes for Llama 2 model
A framework for few-shot evaluation of autoregressive language models.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Resources for "Natural Language Processing" Coursera course.
Data augmentation for NLP
Python library for opening URIs as streaming file-like objects
🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
PyTorch Tutorial for Deep Learning Researchers
Tutorials on Quantized Neural Network using Tensorflow Lite
Quantum graph neural network (quantum GNN) for molecular property prediction.
Epileptic seizure detection using auto-encoded features
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
Code for the paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Full list of US states and cities
Datasets, Transforms and Models specific to Computer Vision
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.