yw6vp's Stars
yjavaherian/deepmind-x-ucl-rl
lecture slides for Deepmind x UCL 2021 reinforcement learning course available in YouTbue
meta-llama/llama-stack
Composable building blocks to build Llama Apps
microsoft/graphrag
A modular graph-based Retrieval-Augmented Generation (RAG) system
snap-research/MLPInit-for-GNNs
[ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
awslabs/graphstorm
Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.
microsoft/DeepGNN
DeepGNN is a framework for training machine learning models on large scale graph data.
huggingface/alignment-handbook
Robust recipes to align language models with human and AI preferences
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
McGill-NLP/llm2vec
Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'
geekan/MetaGPT
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
sheldonresearch/ProG
A Unified Python Library for Graph Prompting
haotian-liu/LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
salesforce/LAVIS
LAVIS - A One-stop Library for Language-Vision Intelligence
lyuchenyang/Macaw-LLM
Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration
AlibabaResearch/DAMO-ConvAI
DAMO-ConvAI: The official repository which contains the codebase for Alibaba DAMO Conversational AI.
snap-stanford/GreaseLM
[ICLR 2022 spotlight]GreaseLM: Graph REASoning Enhanced Language Models for Question Answering
michiyasunaga/dragon
[NeurIPS 2022] DRAGON 🐲: Deep Bidirectional Language-Knowledge Graph Pretraining
microsoft/Graphormer
Graphormer is a general-purpose deep learning backbone for molecular modeling.
XiaoxinHe/Awesome-Graph-LLM
A collection of AWESOME things about Graph-Related LLMs.
snap-stanford/pretrain-gnns
Strategies for Pre-training Graph Neural Networks
acbull/GPT-GNN
Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
jwzhanggy/Graph_Toolformer
stanfordnlp/dspy
DSPy: The framework for programming—not prompting—language models
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
amazon-science/mm-cot
Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)
Dao-AILab/flash-attention
Fast and memory-efficient exact attention
Lightning-AI/lit-llama
Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
OpenGVLab/LLaMA-Adapter
[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters
mlc-ai/mlc-llm
Universal LLM Deployment Engine with ML Compilation