stancld Goto Github PK

accelerate

A simple way to train and use NLP models with multi-GPU, TPU, mixed-precision

achri_experiment

activeloop_langchain_and_vector_db

ActiveLoop Course - LangChain & Vector Databases in Production

adapter-transformers

Huggingface Transformers + Adapters = ❤️

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

bachelors_thesis

Old times - LPPL and Critical Slowing Down for financial bubble prediction

bert_score

BERT score for text generation

bertviz

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

cpp_first_steps

My very first steps with C++

dareczech

datasets

🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

emailsender

extendededitdistance

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

finetune-transformer-lm

Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

flax-sentence-embeddings

Shared code for training sentence embeddings with Flax / JAX

flaxformer

generatingheadline_gans

generatingheadlines_gans

gitlab-ci-test

This is a toy repo for testing some GitLab CI functionalities locally on Docker

huggingface_hub

All the open source things related to the Hugging Face Hub.

infolm-docker

Containerized app for reproducing InfoLM test results for torchmetrics

lightning-transformers

Flexible interface for high-performance research using SOTA Transformers leveraging Pytorch Lightning, Transformers, and Hydra.

longt5-eval

metrics

Machine learning metrics for distributed, scalable PyTorch applications.

msc-project

This thesis investigates the relationship between employee sentiment, proxied by Glassdoor reviews and ratings, and excessive returns on corresponding bonds. While sentiment analysis is well studied for probing into how companies are perceived by investors or the general public, it is a novel idea to exploit sentiment of employees, which enables us to capture very important information for assessing companies' governance. Although a few studies scrutinising the relation employee sentiment and future stock returns have already appeared, this is the first attempt, to the best of my knowledge, to place this analysis to the universe of corporate bonds.

multiwoz

Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)

mypy_testing

networkx

Network Analysis in Python