zhengfangwu's repositories
BLIP
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
build-nanogpt
Video+code lecture on building nanoGPT from scratch
chinese-llm-benchmark
中文大模型能力评测榜单：覆盖百度文心一言、chatgpt、阿里通义千问、讯飞星火、belle / chatglm6b 等开源大模型，多维度能力评测。不仅提供能力评分排行榜，也提供所有模型的原始输出结果！
ColossalAI
Making large AI models cheaper, faster and more accessible
ControlNet
Let us control diffusion models!
cube-studio
cube studio开源云原生一站式机器学习/深度学习/大模型AI平台，支持sso登录，多租户，大数据平台对接，notebook在线开发，拖拉拽任务流pipeline编排，多机多卡分布式训练，超参搜索，推理服务VGPU，边缘计算，serverless，标注平台，自动化标注，数据集管理，大模型微调，vllm大模型推理，llmops，私有知识库，AI模型应用商店，支持模型一键开发/推理/微调，支持国产cpu/gpu/npu芯片，支持RDMA，支持pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/spark/ray/volcano分布式
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
dl_model_infer
🚀🚀🚀This is an AI high-performance reasoning C++ library, Currently supports the deployment of yolov5, yolov7, yolov7-pose, yolov8, yolov8-seg, yolov8-pose, yolov8-obb, yolox, RTDETR, DETR, depth-anything, yolop, yolopv2, SMOKE, yolov9 and other models.🚀🚀🚀
hugging-llm
HuggingLLM, Hugging Future.
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
kubeflow
Machine Learning Toolkit for Kubernetes
lightning
Deep learning framework to train, deploy, and ship AI products Lightning fast.
LLaMA-Efficient-Tuning
Easy-to-use LLM fine-tuning framework (LLaMA-2, BLOOM, Falcon, Baichuan, Qwen, ChatGLM2)
Llama2-Chinese
Llama中文社区，最好的中文Llama大模型，完全开源可商用
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Megatron-LM
Ongoing research training transformer models at scale
nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
nlp_course
YSDA course in Natural Language Processing
oneflow
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
Open-Sora
Open-Sora: Democratizing Efficient Video Production for All
recognize-anything
Code for the Recognize Anything Model (RAM) and Tag2Text Model
SST
Codes for “Fully Sparse 3D Object Detection” & “Embracing Single Stride 3D Object Detector with Sparse Transformer”
stb
stb single-file public domain libraries for C/C++
VAR
[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!
vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
volcano
A Cloud Native Batch System (Project under CNCF)
X-AnyLabeling
Effortless data labeling with AI support from Segment Anything and other awesome models.
x-transformers
A simple but complete full-attention transformer with a set of promising experimental features from various papers
xtuner
An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)