Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for python in context learning
in-context-learning
x
python
x
22 search results found
Llmsurvey
⭐
7,255
The official GitHub page for the survey paper "A Survey of Large Language Models".
Open_flamingo
⭐
3,115
An open-source framework for training large multimodal models.
Painter
⭐
2,234
Painter & SegGPT Series: Vision Foundation Models from BAAI
Vall E
⭐
1,560
PyTorch implementation of VALL-E(Zero-Shot Text-To-Speech), Reproduced Demo https://lifeiteng.github.io/valle/index.html
Emu
⭐
1,162
Emu Series: Generative Multimodal Models from BAAI
Openicl
⭐
372
OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.
Awesome Instruction Learning
⭐
336
Papers and Datasets on Instruction Tuning and Following. ✨✨✨
Easyinstruct
⭐
253
An Easy-to-use Instruction Processing Framework for LLMs.
Binder
⭐
218
[ICLR 2023] Code for the paper "Binding Language Models in Symbolic Languages"
Chatgpt Vs. Bert
⭐
157
🎁[ChatGPT4NLU] A Comparative Study on ChatGPT and Fine-tuned BERT
Visual_prompt_retrieval
⭐
141
[NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"
Awesome Instruction Tuning
⭐
114
A curated list of awesome instruction tuning datasets, models, papers and repositories.
Icl Selective Annotation
⭐
72
[ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"
Incontext Learning
⭐
69
Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"
Powerfulpromptft
⭐
59
[NeurIPS 2023 Main Track] This is the repository for the paper titled "Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner"
Grimoire
⭐
35
Grimoire is All You Need for Enhancing Large Language Models
Icl Ceil
⭐
33
Code for our paper “Compositional Exemplars for In-context Learning”.
Smashed
⭐
26
SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batching, and more. Supports datasets from Huggingface, torchdata iterables, or simple lists of dictionaries.
Reform Eval
⭐
19
An benchmark for evaluating the capabilities of large vision-language models (LVLMs)
Outfox
⭐
18
The official repository for our AAAI 2024 paper, "OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examples"
Sefm
⭐
9
Separating Anything from Image in Context
Llamadoc
⭐
7
Taking advantage of LlamaIndex's in-context learning paradigm, LlamaDoc empowers users to input PDF documents and pose any questions related to the content. The tool leverages the LLama Index's reasoning capabilities to provide intelligent responses based on the contextual understanding of the LLM.
Related Searches
Python Django (28,897)
Python Dataset (14,792)
Python Jupyter Notebook (12,976)
Python Natural Language Processing (9,064)
Python Pytorch (7,877)
Python Language (4,480)
Python Pipeline (4,391)
Python Chatbot (3,143)
Python Openai (2,580)
Python Benchmark (2,103)
1-22 of 22 search results
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.