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vdumoulin / Conv ArithmeticA technical report on convolution arithmetic in the context of deep learning
EvolvingLMMs-Lab / Otter🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.
agno-agi / DashSelf-learning data agent that grounds its answers in 6 layers of context. Inspired by OpenAI's in-house implementation.
EgoAlpha / Prompt In Context LearningAwesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.
zai-org / SCAILOffical Implementation of SCAIL: Towards Studio-Grade Character Animation via In-Context Learning of 3D-Consistent Pose Representations
dqxiu / ICL PaperListPaper List for In-context Learning 🌷
facebookresearch / TaBERTThis repository contains source code for the TaBERT model, a pre-trained language model for learning joint representations of natural language utterances and (semi-)structured tables for semantic parsing. TaBERT is pre-trained on a massive corpus of 26M Web tables and their associated natural language context, and could be used as a drop-in replacement of a semantic parsers original encoder to compute representations for utterances and table schemas (columns).
Shark-NLP / OpenICLOpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.
thedimlebowski / Trading GymTrading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.
ArcInstitute / StateState is a machine learning model that predicts cellular perturbation response across diverse contexts
UX-Decoder / DINOv[CVPR 2024] Official implementation of the paper "Visual In-context Learning"
katerakelly / OysterImplementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)
Tencent-Hunyuan / CL BenchCL-bench: A Benchmark for Context Learning
r-three / T FewCode for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"
KarelDO / Xmc.dspyIn-Context Learning for eXtreme Multi-Label Classification (XMC) using only a handful of examples.
Zhendong-Wang / Prompt DiffusionOfficial PyTorch implementation of the paper "In-Context Learning Unlocked for Diffusion Models"
BoyuanJiang / Context Encoder PytorchPyTorch Implement of Context Encoders: Feature Learning by Inpainting
Atomic-man007 / Awesome Multimodel LLMAwesome_Multimodel is a curated GitHub repository that provides a comprehensive collection of resources for Multimodal Large Language Models (MLLM). It covers datasets, tuning techniques, in-context learning, visual reasoning, foundational models, and more. Stay updated with the latest advancement.
researchmm / PEN Net For Inpainting[CVPR'2019] PEN-Net: Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting
HaozheZhao / MICMMICL, a state-of-the-art VLM with the in context learning ability from ICL, PKU
