byeongGuks's Stars
karpathy/llm.c
LLM training in simple, raw C/CUDA
stanfordnlp/dspy
DSPy: The framework for programming—not prompting—foundation models
deepset-ai/haystack
:mag: AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
mlfoundations/open_clip
An open source implementation of CLIP.
timothybrooks/instruct-pix2pix
OpenGVLab/InternVL
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
rom1504/img2dataset
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
facebookresearch/DPR
Dense Passage Retriever - is a set of tools and models for open domain Q&A task.
baaivision/Emu
Emu Series: Generative Multimodal Models from BAAI
beir-cellar/beir
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
bricks-cloud/BricksLLM
🔒 Enterprise-grade API gateway that helps you monitor and impose cost or rate limits per API key. Get fine-grained access control and monitoring per user, application, or environment. Supports OpenAI, Azure OpenAI, Anthropic, vLLM, and open-source LLMs.
AILab-CVC/SEED
Official implementation of SEED-LLaMA (ICLR 2024).
haven-jeon/PyKoSpacing
Automatic Korean word spacing with Python
RunpeiDong/DreamLLM
[ICLR 2024 Spotlight] DreamLLM: Synergistic Multimodal Comprehension and Creation
zhuyiche/llava-phi
apple/ml-veclip
The official repo for the paper "VeCLIP: Improving CLIP Training via Visual-enriched Captions"
facebookresearch/DCI
Densely Captioned Images (DCI) dataset repository.
MMStar-Benchmark/MMStar
This repo contains evaluation code for the paper "Are We on the Right Way for Evaluating Large Vision-Language Models"
revantteotia/clip-training
Code to train CLIP model
SusungHong/Debiased-Score-Distillation-Sampling
Debiasing Scores and Prompts of 2D Diffusion for View-consistent Text-to-3D Generation (D-SDS) | NeurIPS 2023
dmis-lab/TouR
Findings of ACL'2023: Optimizing Test-Time Query Representations for Dense Retrieval