QiyuanY

QiyuanY's Stars

• GGorMM1/QIREN

  This repo contains the code that was used in the paper "Quantum Implicit Neural Representations".

  Language:Python132

• LLaVA-VL/LLaVA-NeXT

  Language:Python2.3k155

• NiuTrans/Classical-Modern

  非常全的文言文（古文）-现代文平行语料

  Language:Python1.1k252

• unslothai/unsloth

  Finetune Llama 3.1, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory

  Language:Python15.2k1k

• hacksider/Deep-Live-Cam

  real time face swap and one-click video deepfake with only a single image

  Language:Python33.7k4.7k

• ggerganov/llama.cpp

  LLM inference in C/C++

  Language:C++64.6k9.2k

• modelscope/ms-swift

  Use PEFT or Full-parameter to finetune 300+ LLMs or 80+ MLLMs. (Qwen2, GLM4v, Internlm2.5, Yi, Llama3.1, Llava-Video, Internvl2, MiniCPM-V-2.6, Deepseek, Baichuan2, Gemma2, Phi3-Vision, ...)

  Language:Python3.3k274

• LTH14/mar

  PyTorch implementation of MAR+DiffLoss https://arxiv.org/abs/2406.11838

  Language:Python70934

• open-compass/VLMEvalKit

  Open-source evaluation toolkit of large vision-language models (LVLMs), support ~100 VLMs, 40+ benchmarks

  Language:Python964136

• Lightning-AI/litgpt

  20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

  Language:Python9.7k965

• YouTaoBaBa/Chinese-Dialogue-Dataset

  用于汇总目前的开源中文对话数据集

  927

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python82k22k

• yuanzhoulvpi2017/zero_nlp

  中文nlp解决方案(大模型、数据、模型、训练、推理)

  Language:Jupyter Notebook2.8k354

• Coobiw/MPP-LLaVA

  Personal Project: MPP-Qwen14B & MPP-Qwen-Next(Multimodal Pipeline Parallel based on Qwen-LM). Support [video/image/multi-image] {sft/conversations}. Don't let the poverty limit your imagination! Train your own 8B/14B LLaVA-training-like MLLM on RTX3090/4090 24GB.

  Language:Jupyter Notebook34719

• instantX-research/InstantID

  InstantID: Zero-shot Identity-Preserving Generation in Seconds 🔥

  Language:Python10.8k789

• kwea123/ngp_pl

  Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)

  Language:Jupyter Notebook1.2k153

• zhiyiYo/PyQt-Fluent-Widgets

  A fluent design widgets library based on C++ Qt/PyQt/PySide. Make Qt Great Again.

  Language:Python5.3k514

• THUDM/ChatGLM-6B

  ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

  Language:Python40.4k5.2k

• liuzhen0212/FINER

  FINER: Flexible spectral-bias tuning in Implicit NEural Representation by Variable-periodic Activation Functions

  Language:Jupyter Notebook131

• tianrun-chen/xLSTM-UNet-PyTorch

  Replacing Mamba with xLSTM! It works better. We show that xLSTM-Unet can be an effective semantic segmentation backbone.

  Language:Python10710

• zhizdev/sparsefusion

  [CVPR 2023] SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction

  Language:Python35414

• naklecha/llama3-from-scratch

  llama3 implementation one matrix multiplication at a time

  Language:Jupyter Notebook13k1k

• jaeho-lee/MetaSparseINR

  Meta-Learning Sparse Implicit Neural Representations (NeurIPS 2021)

  Language:Python635

• karpathy/minbpe

  Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

  Language:Python9k826

• benarnav/bytephase

  A byte-pair tokenizer for use with LLMs providing a Python API with C extensions for improved performance

  Language:C41

• NielsRogge/Transformers-Tutorials

  This repository contains demos I made with the Transformers library by HuggingFace.

  Language:Jupyter Notebook9k1.4k

• vllm-project/vllm

  A high-throughput and memory-efficient inference and serving engine for LLMs

  Language:Python26.1k3.8k

• BadToBest/EchoMimic

  Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditioning

  Language:Python2.3k262

• KwaiVGI/LivePortrait

  Bring portraits to life!

  Language:Python11.4k1.2k

• CUHK-AIM-Group/U-KAN

  [ArXiv' 24] U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation

  Language:Python20425