Kaka23333's Stars
RUCKBReasoning/CodeRM
The code of arXiv paper: "Dynamic Scaling of Unit Tests for Code Reward Modeling"
zhxlia/SciTaT
nerfies/nerfies.github.io
richards199999/Thinking-Claude
Let your Claude able to think
bklieger-groq/g1
g1: Using Llama-3.1 70b on Groq to create o1-like reasoning chains
Open-Source-O1/Open-O1
GAIR-NLP/O1-Journey
O1 Replication Journey: A Strategic Progress Report – Part I
RUCAIBox/Slow_Thinking_with_LLMs
A series of technical report on Slow Thinking with LLM
karthik/wesanderson
A Wes Anderson color palette for R
ethancaballero/description2code
LiveCodeBench/LiveCodeBench
Official repository for the paper "LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code"
NVIDIA/Megatron-LM
Ongoing research training transformer models at scale
hiyouga/LLaMA-Factory
Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
OpenRLHF/OpenRLHF
An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention & RFT)
FlagOpen/TACO
se2p/pynguin
The PYthoN General UnIt Test geNerator is a test-generation tool for Python
skpig/MPSC
[ACL 2024] Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency
sgl-project/sglang
SGLang is a fast serving framework for large language models and vision language models.
google-deepmind/code_contests
FloridSleeves/LLMDebugger
LDB: A Large Language Model Debugger via Verifying Runtime Execution Step by Step
evalplus/evalplus
Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024
BradyFU/Awesome-Multimodal-Large-Language-Models
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
yt-dlp/yt-dlp
A feature-rich command-line audio/video downloader
deepseek-ai/DeepSeek-Coder
DeepSeek Coder: Let the Code Write Itself
MARIO-Math-Reasoning/Super_MARIO
YujieLu10/LLMScore
LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation
microsoft/VisEval
SpursGoZmy/Table-LLaVA
Dataset and Code for our ACL 2024 paper: "Multimodal Table Understanding". We propose the first large-scale Multimodal IFT and Pre-Train Dataset for table understanding and develop a generalist tabular MLLM named Table-LLaVA.
wenhuchen/Table-Fact-Checking
Data and Code for ICLR2020 Paper "TabFact: A Large-scale Dataset for Table-based Fact Verification"
wdndev/llm_interview_note
主要记录大语言大模型(LLMs) 算法(应用)工程师相关的知识及面试题