AbnerAI

AbnerAI's Stars

• ezelikman/quiet-star

  Code for Quiet-STaR

  Language:Python66089

• danny-avila/LibreChat

  Enhanced ChatGPT Clone: Features Anthropic, AWS, OpenAI, Assistants API, Azure, Groq, o1, GPT-4o, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, langchain, DALL-E-3, ChatGPT Plugins, OpenAI Functions, Secure Multi-User System, Presets, completely open-source for self-hosting. Actively in public development.

  Language:TypeScript19.4k3.2k

• zchuz/CoT-Reasoning-Survey

  [ACL 2024] A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future

  35112

• HKUNLP/diffusion-of-thoughts

  [NeurIPS 2024] Code for the paper "Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models"

  Language:Python862

• amazon-science/auto-cot

  Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)

  Language:Jupyter Notebook1.6k146

• Alab-NII/chain-of-thought

  Research papers about Chain of Thought (CoT)

  393

• FranxYao/chain-of-thought-hub

  Benchmarking large language models' complex reasoning ability with chain-of-thought prompting

  Language:Jupyter Notebook2.6k131

• NUS-HPC-AI-Lab/Neural-Network-Parameter-Diffusion

  We introduce a novel approach for parameter generation, named neural network parameter diffusion (p-diff), which employs a standard latent diffusion model to synthesize a new set of parameters

  Language:Python83843

• StarLight1212/Generative-models

  This project aim to share the knowledge and code concerning generative models.

  Language:Python10627

• Fazziekey/Fazziekey

  6

• titu1994/neural-architecture-search

  Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).

  Language:Python433113

• EasyJailbreak/EasyJailbreak

  An easy-to-use Python framework to generate adversarial jailbreak prompts.

  Language:Python49040

• yang-song/score_sde_pytorch

  PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

  Language:Jupyter Notebook1.8k319

• zhyjSIAT/A-Two-Stage-CycleGAN-VE-BRATS2020

  Language:Python5

• shuyhere/about-super-alignment

  Feeling confused about super alignment? Here is a reading list

  431

• maitrix-org/llm-reasoners

  A library for advanced large language model reasoning

  Language:Python1.5k129

• dvlab-research/ControlNeXt

  Controllable video and image Generation, SVD, Animate Anyone, ControlNet, ControlNeXt, LoRA

  Language:Python1.4k70

• JShollaj/awesome-llm-interpretability

  A curated list of Large Language Model (LLM) Interpretability resources.

  1.2k94

• tingofurro/summac

  Codebase, data and models for the SummaC paper in TACL

  Language:Jupyter Notebook8524

• vectara/hallucination-leaderboard

  Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents

  Language:Python1.3k50

• PKU-YuanGroup/Hallucination-Attack

  Attack to induce LLMs within hallucinations

  Language:Python11313

• zjunlp/KnowledgeCircuits

  [NeurIPS 2024] Knowledge Circuits in Pretrained Transformers

  Language:Python793

• AILab-CVC/M2PT

  [CVPR'24] Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities

  Language:Python954

• AkiNikolaidis/PyBASC

  Bootstrapped Analysis of Stable Clusters- A semi-automated fMRI individual and group level functional parcellation technique

  Language:Python263

• BlueBrain/Atlas-Download-Tools

  Search, download, and prepare brain atlas data.

  Language:Python177

• IAAR-Shanghai/CTGSurvey

  Controllable Text Generation for Large Language Models: A Survey

  Language:TeX1438

• online-ml/river

  🌊 Online machine learning in Python

  Language:Python5.1k551

• jonbarron/website

  Language:HTML2.7k2.2k

• BorealisAI/flora-opt

  This is the official repository for the paper "Flora: Low-Rank Adapters Are Secretly Gradient Compressors" in ICML 2024.

  Language:Python834

• zroe1/toy-models-of-superposition

  A replication of "Toy Models of Superposition," a groundbreaking machine learning research paper published by authors affiliated with Anthropic and Harvard in 2022.

  Language:Jupyter Notebook4