dmarx/dmarx-github-stars huggingface dataset:
Repository: inseq-team/inseq
Description: Interpretability for sequence generation models 🐛 🔍
Language: Python
Topics: attribution-methods, captum, deep-learning, explainable-ai, generative-ai, huggingface, interpretability, language-generation, language-model, large-language-models, natural-language-processing, sequence-to-sequence, transformers
Homepage: https://inseq.org
Repository: astra-vision/SceneRF
Description: [ICCV 2023] Official implementation of "SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields"
Language: Python
Topics: 3d-reconstruction, deep-learning, depth-estimation, nerf, neural-radiance-fields, pytorch, pytorch-lightning, scene-reconstruction, self-supervised, self-supervised-learning, single-image-reconstruction
Homepage: https://astra-vision.github.io/SceneRF/
Repository: kyegomez/tree-of-thoughts
Description: Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70% 
Language: Python
Topics: artificial-intelligence, chatgpt, deep-learning, gpt4, multimodal, prompt, prompt-engineering, prompt-learning, prompt-tuning
Homepage: https://discord.gg/qUtxnK2NMf
Repository: haotian-liu/LLaVA
Description: [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Language: Python
Topics: chatbot, chatgpt, foundation-models, gpt-4, instruction-tuning, llama, llama-2, llama2, llava, multi-modality, multimodal, vision-language-model, visual-language-learning
Homepage: https://llava.hliu.cc