xuxingc

xuxingc's Stars

• facebookresearch/moco

  PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

  Language:Python4.7k775

• clabrugere/wukong-recommendation

  Implements the paper "Wukong: Towards a Scaling Law for Large-Scale Recommendation" from Meta.

  Language:Python344

• Ascend/AscendSpeed

  Language:Python705

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python25.8k2.9k

• yoheinakajima/babyagi

  Language:Python19.9k2.6k

• tengyuma/cs229m_notes

  Language:TeX20643

• chengxiang/LinearTransformer

  Pytorch code for experiments on Linear Transformers

  Language:Jupyter Notebook92

• xai-org/grok-1

  Grok open release

  Language:Python49.4k8.3k

• Sohl-Dickstein/fractal

  The boundary of neural network trainability is fractal

  Language:Jupyter Notebook15417

• Ma-Lab-Berkeley/CRATE

  Code for CRATE (Coding RAte reduction TransformEr).

  Language:Python1.1k93

• facebookresearch/Pearl

  A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

  Language:Jupyter Notebook2.6k155

• srush/do-we-need-attention

  Language:TeX1597

• p-lambda/incontext-learning

  Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"

  Language:Python9412

• facebookresearch/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python30.1k6.4k

• dair-ai/Prompt-Engineering-Guide

  🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

  Language:MDX47.4k4.6k

• PKU-YuanGroup/Open-Sora-Plan

  This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.

  Language:Python11.2k999

• hoya012/awesome-anomaly-detection

  A curated list of awesome anomaly detection resources

  2.7k513

• lucidrains/denoising-diffusion-pytorch

  Implementation of Denoising Diffusion Probabilistic Model in Pytorch

  Language:Python7.8k986

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook91.8k14.6k

• FedML-AI/FedML

  FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

  Language:Python4.1k779

• BaguaSys/bagua

  Bagua Speeds up PyTorch

  Language:Python87384

• meta-llama/llama

  Inference code for Llama models

  Language:Python55.3k9.4k

• microsoft/deep-language-networks

  We view Large Language Models as stochastic language layers in a network, where the learnable parameters are the natural language prompts at each layer. We stack two such layers, feeding the output of one layer to the next. We call the stacked architecture a Deep Language Network - DLN

  Language:Python9013

• cassidylaidlaw/effective-horizon

  Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"

  Language:Python415

• nlpxucan/WizardLM

  LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

  Language:Python9.2k712

• BlinkDL/RWKV-LM

  RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

  Language:Python12.2k838

• xuxingc/ProxDASA

  Experiments for ProxDASA paper

  Language:Python21

• gmancino/DEEPSTORM

  Experiments for DEEPSTORM paper

  Language:Python43

• ctlllll/LLM-ToolMaker

  Language:Jupyter Notebook1k99

• CompVis/latent-diffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Jupyter Notebook11.4k1.5k