🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Crack LeetCode, not only how, but also why.

程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).

A high-throughput and memory-efficient inference and serving engine for LLMs

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

润学全球官方指定GITHUB，整理润学宗旨、纲领、理论和各类润之实例；解决为什么润，润去哪里，怎么润三大问题； 并成为新中国人的核心宗教，核心信念。

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

Train transformer language models with reinforcement learning.

Datasets, Transforms and Models specific to Computer Vision

Ongoing research training transformer models at scale

QLoRA: Efficient Finetuning of Quantized LLMs

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

BertViz: Visualize Attention in Transformer Models

A faster pytorch implementation of faster r-cnn

Example models using DeepSpeed

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

Reference models and tools for Cloud TPUs.

A deck tracker and deck manager for Hearthstone on Windows

An Open-Source Framework for Prompt-Learning.

Data augmentation for NLP

MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips

A curated list of reinforcement learning with human feedback resources (continually updated)

Must-read papers on prompt-based tuning for pre-trained language models.

Numbers every LLM developer should know

A simplified implemention of Faster R-CNN that replicate performance from origin paper

Differentiable architecture search for convolutional and recurrent networks

AllenAI's post-training codebase

[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821

🦞 Just talk to your agent — it learns and EVOLVES 🧬.