iceflame89

iceflame89's Stars

• PaddlePaddle/PaddleOCR

  Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

  Language:Python45.8k4479.4k7.9k

• vllm-project/vllm

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

  Language:Python33.8k2786k5.2k

• 2noise/ChatTTS

  A generative speech model for daily dialogue.

  Language:Python33.7k1935903.7k

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python27.9k2352753.2k

• Mozilla-Ocho/llamafile

  Distribute and run LLMs with a single file.

  Language:C++21.3k1784541.1k

• OpenBMB/MiniCPM-V

  MiniCPM-V 2.6: A GPT-4V Level MLLM for Single Image, Multi Image and Video on Your Phone

  Language:Python13.1k107617914

• ggerganov/ggml

  Tensor library for machine learning

  Language:C++11.5k1344371.1k

• facebookresearch/nougat

  Implementation of Nougat Neural Optical Understanding for Academic Documents

  Language:Python9.2k63216586

• 01-ai/Yi

  A series of large language models trained from scratch by developers @01-ai

  Language:Jupyter Notebook7.8k108290491

• OpenBMB/MiniCPM

  MiniCPM3-4B: An edge-side LLM that surpasses GPT-3.5-Turbo.

  Language:Jupyter Notebook7.1k79225459

• jaywalnut310/vits

  VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

  Language:Python7k552071.3k

• TimDettmers/bitsandbytes

  Accessible large language models via k-bit quantization for PyTorch.

  Language:Python5.8k48968584

• togethercomputer/RedPajama-Data

  The RedPajama-Data repository contains code for preparing large datasets for training large language models.

  Language:Python4.6k7892349

• AutoGPTQ/AutoGPTQ

  An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

  Language:Python4.6k31474493

• X-PLUG/MobileAgent

  Mobile-Agent: The Powerful Mobile Device Operation Assistant Family

  Language:Python3.2k5568312

• mit-han-lab/llm-awq

  [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

  Language:Python2.7k24194223

• quic/aimet

  AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

  Language:Python2.2k511.4k394

• princeton-nlp/SWE-bench

  [ICLR 2024] SWE-bench: Can Language Models Resolve Real-world Github Issues?

  Language:Python2.1k26166363

• IST-DASLab/gptq

  Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".

  Language:Python2k2950162

• google-deepmind/mathematics_dataset

  This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty.

  Language:Python1.8k6513252

• baaivision/Emu

  Emu Series: Generative Multimodal Models from BAAI

  Language:Python1.7k228885

• NEU-Gou/awesome-reid-dataset

  Collection of public available person re-identification datasets

  9232518157

• Efficient-Large-Model/VILA

  VILA - a multi-image visual language model with training, inference and evaluation recipe, deployable from cloud to edge (Jetson Orin and laptops)

  Language:Python882196855

• OpenBMB/mlc-MiniCPM

  MiniCPM on Android platform.

  Language:Python5869044

• quic/ai-hub-models

  The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

  Language:Python5591813887

• airockchip/rknn-llm

  Language:C5011215445

• thunlp/LLaVA-UHD

  LLaVA-UHD v2: an MLLM Integrating High-Resolution Feature Pyramid via Hierarchical Window Transformer

  Language:Python348142815

• staghado/vit.cpp

  Inference Vision Transformer (ViT) in plain C/C++ with ggml

  Language:C++2447818

• apple/ml-veclip

  The official repo for the paper "VeCLIP: Improving CLIP Training via Visual-enriched Captions"

  Language:Jupyter Notebook23815014

• Achazwl/llama.cpp

  LLM inference in C/C++

  Language:C++1001