rosafish's Stars
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
microsoft/autogen
A programming framework for agentic AI 🤖
svc-develop-team/so-vits-svc
SoftVC VITS Singing Voice Conversion
stanfordnlp/dspy
DSPy: The framework for programming—not prompting—foundation models
mmistakes/minimal-mistakes
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
MineDojo/Voyager
An Open-Ended Embodied Agent with Large Language Models
openai/human-eval
Code for the paper "Evaluating Large Language Models Trained on Code"
codefuse-ai/Awesome-Code-LLM
A curated list of language modeling researches for code and related datasets.
anthropics/anthropic-sdk-python
huybery/Awesome-Code-LLM
👨‍💻 An awesome and curated list of best code-LLM for research.
kagisearch/pyllms
Minimal Python library to connect to LLMs (OpenAI, Anthropic, Google, Groq, Reka, Together, AI21, Cohere, Aleph Alpha, HuggingfaceHub), with a built-in model performance benchmark.
AssemblyAI-Community/Machine-Learning-From-Scratch
Implementation of popular ML algorithms from scratch
acl-org/acl-style-files
Official style files for papers submitted to venues of the Association for Computational Linguistics
stanfordnlp/pyvene
Stanford NLP Python Library for Understanding and Improving PyTorch Models via Interventions
EdinburghNLP/awesome-hallucination-detection
List of papers on hallucination detection in LLMs.
allenai/tango
Organize your experiments into discrete steps that can be cached and reused throughout the lifetime of your research project.
hendrycks/apps
APPS: Automated Programming Progress Standard (NeurIPS 2021)
google-deepmind/opro
official code for "Large Language Models as Optimizers"
kaistAI/CoT-Collection
[EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
Yale-LILY/FOLIO
sauxpa/neural_exploration
Study NeuralUCB and regret analysis for contextual bandit with neural decision
ZihanWangKi/GoalEx
Implementation of the Paper "Goal-Driven Explainable Clustering via Language Descriptions"
csinva/tree-prompt
Tree prompting: easy-to-use scikit-learn interface for improved prompting.
xhan77/context-aware-decoding
DenisPeskoff/2020_acl_diplomacy
Repository for ACL 2020 Paper: "It Takes Two to Lie: One to Lie, and One to Listen"
uchicago-dsi/core-facility-docs
Documentation and resources helpful to the core facility
ChicagoHAI/hypothesis_generation
yuchen814/CodeHalu
y0mingzhang/openai-api-cache