tkhan3

COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

dlib

A toolkit for making real world machine learning and data analysis applications in C++

hmtl

🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP

COVID-Net

COVID-Net Open Source Initiative

awesome-transformer-nlp

A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.

realistic-ssl-evaluation

Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

word-embedding-dimensionality-selection

On the Dimensionality of Word Embedding

polyvore

Code for ACM MM'17 paper "Learning Fashion Compatibility with Bidirectional LSTMs"

long-term-video-prediction-without-supervision

Implementation of Hierarchical Long-term Video Prediction without Supervision

DeepZine

Synthetic book pages created with a PGGAN

how_optimization_works

docs

fashion-compatibility

Learning Type-Aware Embeddings for Fashion Compatibility

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

ML-From-Scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

text_summurization_abstractive_methods

Multiple implementations for abstractive text summurization , using google colab

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.