Stars
Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierarchical reinforcement learning. It includes the code for the …
A library for scientific machine learning and physics-informed learning
Official repository of Evolutionary Optimization of Model Merging Recipes
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
Fast and memory-efficient exact attention
A research project for natural language generation, containing the official implementations by MSRA NLC team.
Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding
official code for "Large Language Models as Optimizers"
[ACL'24] Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning
Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supportin…
Finetune Llama 3.1, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
Official Pytorch repository for Extreme Compression of Large Language Models via Additive Quantization https://arxiv.org/pdf/2401.06118.pdf and PV-Tuning: Beyond Straight-Through Estimation for Ext…
Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)
A deep learning-powered visual navigation engine to enables autonomous navigation of pocket-size quadrotor - running on PULP
DSPy: The framework for programming—not prompting—foundation models
🦜🔗 Build context-aware reasoning applications
An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)