DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).

[ACL'19] [PyTorch] Multimodal Transformer

Code repository of the paper Neural circuit policies enabling auditable autonomy published in Nature Machine Intelligence

Keras documentation, hosted live at keras.io

Python library for creating PEG parsers

This repository contains implementations and illustrative code to accompany DeepMind publications

End-to-End Object Detection with Transformers

PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057

An implementation of a deep learning recommendation model (DLRM)

A Fast, Extensible Progress Bar for Python and CLI

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

A curated list of references for MLOps

Resource-adaptive cluster scheduler for deep learning training.

Open standard for machine learning interoperability

Example code and applications for machine learning on Graphcore IPUs

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

Free course for Resume, 整理和搜集网络免费的项目实战课程，包括 Java 项目实战，Python 项目实战，C++ 项目实战等

Open source code for AlphaFold.

CVPR 2021 论文和开源项目合集

Code for the paper "Evaluating Large Language Models Trained on Code"

Neural style transfer in PyTorch.

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

A data augmentations library for audio, image, text, and video.

Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)