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Google Research
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A game theoretic approach to explain the output of any machine learning model.
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
PRML algorithms implemented in Python
LAVIS - A One-stop Library for Language-Vision Intelligence
A scikit-learn compatible neural network library that wraps PyTorch
Collection of notebooks about quantitative finance, with interactive python code.
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Efficient few-shot learning with Sentence Transformers
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, B…
A curated list of awesome embedding models tutorials, projects and communities.
Getting started with soccer analytics
A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.
Keras implementation of a CNN network for age and gender estimation
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
Early stopping for PyTorch
Simple and flexible progress bar for Jupyter Notebook and console
Python Helper library for Jupyter Notebooks
書籍「つくりながら学ぶ! PyTorchによる発展ディープラーニング」の実装コードを配置したリポジトリです
python partial dependence plot toolbox
Simple implementation of OpenAI CLIP model in PyTorch.
Data, Benchmarks, and methods submitted to the M5 forecasting competition
BERT with SentencePiece for Japanese text.
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.