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Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
An Easy-to-use, Scalable and High-performance RLHF Framework (70B PPO Full Tuning & Iterative DPO & LoRA & Mixtral)
Paper Reproduction Google SCoRE(Training Language Models to Self-Correct via Reinforcement Learning)
Scientific Large Language Models: A Survey on Biological & Chemical Domains
Crawl & Visualize ICLR 2024 Data from OpenReview
A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.
Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
"Semantic Evaluation for Text-to-SQL with Distilled Test Suite", EMNLP2020
Paint by Example: Exemplar-based Image Editing with Diffusion Models
Inpaint anything using Segment Anything and inpainting models.
Segment-anything related awesome extensions/projects/repos.
Python library for converting between MIDI files and Pandas DataFrame objects for use in machine learning applications.
[ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning
S-Eval: Automatic and Adaptive Test Generation for Benchmarking Safety Evaluation of Large Language Models
An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset
Python Library to evaluate VLM models' robustness across diverse benchmarks
This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) avai…
Speech To Speech: an effort for an open-sourced and modular GPT4-o
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
[ACL24] Official repo for "Synthesizing Text-to-SQL Data from Weak and Strong LLMs"
KoCommonGEN v2: A Benchmark for Navigating Korean Commonsense Reasoning Challenges in Large Language Models
Code for the paper "Understanding the Effects of Noise in Text-to-SQL: An Examination of the BIRD-Bench Benchmark".
Evaluate the accuracy of LLM generated outputs
An Open Source text-to-speech system built by inverting Whisper.