Popular GitHub Repositories for Pair Programing

aider is AI pair programming in your terminal

Siamese and triplet networks with online pair/triplet mining in PyTorch

Your best AI pair programmer in VS Code

Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)

A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

Emacs AI Pair Programming Solution

Rust-tokenizer offers high-performance tokenizers for modern language models, including WordPiece, Byte-Pair Encoding (BPE) and Unigram (SentencePiece) models

We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.

Deep fake ready to train on any 2 pair dataset with higher resolution

? AI-Powered Pair Programming Friend!

[NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach'.

Learn, build, debug, and ship faster than ever with your favorite AI pair programmer.

This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.

A conversational semi-autonomous developer assistant. AI pair programming without the copypasta.

Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierarchical reinforcement learning. It includes the code for the proposed method and experimental results on real-world stock data to demonstrate its effectiveness.

A Pair Programming Framework for Code Generation via Multi-Plan Exploration and Feedback-Driven Refinement, ASE 2024 (Distinguished Paper Award)

[IEEE TPAMI-2024] Pair then Relation: Pair-Net for Panoptic Scene Graph Generation

Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)

Go BPE tokenizer (Encoder+Decoder) for GPT2 and GPT3

FlexiGPT plugin for VSCode. Interact with AI models as a power user