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The open-source tool for building high-quality datasets and computer vision models
A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
[ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
A framework for few-shot evaluation of language models.
Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supportin…
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Resource, Evaluation and Detection Papers for ChatGPT
Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
A curated list of neural network pruning resources.
Stable Diffusion web UI
[NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers
[ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408
Source code for EMNLP2022 paper "Finding Skill Neurons in Pre-trained Transformers via Prompt Tuning".
⚡️ Python client for the unofficial ChatGPT API with auto token regeneration, conversation tracking, proxy support and more.
Must-read Papers of Parameter-Efficient Tuning (Delta Tuning) Methods on Pre-trained Models.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
get football tracking data from TV broadcast using yoloV5, Deep sort
Event Extraction by Answering (Almost) Natural Questions
A Framework for Textual Entailment based Zero Shot text classification
DocEE: A Large-Scale and Fine-grained Benchmark for Document-level Event Extraction
Convert Machine Learning Code Between Frameworks
A Knowledge Grounded Conversation (KGC) Paper Reading List Maintained by Chuan Meng.
ACL 2022: CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion
Datasets for Knowledge Graph Completion with textual information about the entities
A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiase…