mexin56's Stars
VoltaML/voltaML
⚡VoltaML is a lightweight library to convert and run your ML/DL deep learning models in high performance inference runtimes like TensorRT, TorchScript, ONNX and TVM.
a597873885/webfunny_monitor
webfunny是一款轻量级的前端性能监控和埋点系统,私有化部署,简单易用。Webfunny is a lightweight front-end performance monitoring system and a burying point system, which is privatized and easy to use.
jonataslaw/getx
Open screens/snackbars/dialogs/bottomSheets without context, manage states and inject dependencies easily with Get.
CompVis/stable-diffusion
A latent text-to-image diffusion model
neuml/txtai
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
dromara/liteflow
Lightweight, fast, stable, and programmable component-based rule engine/process engine. Component reuse, synchronous/asynchronous orchestration, dynamic orchestration, multi-language scripting support, complex nested rules, hot deployment, smooth refreshing. Let you improve your development efficiency!
VowpalWabbit/vowpal_wabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
Lizhen0628/text_classification
使用rnn,lstm,gru,fasttext,textcnn,dpcnn,rnn-att,lstm-att,兼容huggleface/transformers,以及以transforemrs作为词嵌入模型,后面接入cnn、rnn、attention等等做文本分类。以及各个模型的对比
optuna/optuna
A hyperparameter optimization framework
danielenricocahall/elephas
Distributed Deep learning with Keras & Spark
intel-analytics/ipex-llm
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, Phi, MiniCPM, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, GraphRAG, DeepSpeed, vLLM, FastChat, Axolotl, etc.
yahoo/TensorFlowOnSpark
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
JohnSnowLabs/spark-nlp
State of the Art Natural Language Processing
pola-rs/polars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
gofiber/fiber
⚡️ Express inspired web framework written in Go
360digitech/GBST
GBST is an optimized distributed gradient boosting survival trees library that is implemented based on the XGBoost
xyflow/xyflow
React Flow | Svelte Flow - Powerful open source libraries for building node-based UIs with React (https://reactflow.dev) or Svelte (https://svelteflow.dev). Ready out-of-the-box and infinitely customizable.
dbt-labs/dbt-core
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
mli/paper-reading
深度学习经典、新论文逐段精读
SeldonIO/alibi
Algorithms for explaining machine learning models
scikit-learn-contrib/boruta_py
Python implementations of the Boruta all-relevant feature selection method.
Mohamed-512/Extra-Streamlit-Components
An all in one place, to find complex or just not available components by default on streamlit.
coleifer/peewee
a small, expressive orm -- supports postgresql, mysql, sqlite and cockroachdb
OpenEthan/SMSBoom
SMSBoom - Deprecate: Due to judicial reasons, the repository has been suspended!
wangshusen/DRL
Deep Reinforcement Learning
kubesphere/kubesphere
The container platform tailored for Kubernetes multi-cloud, datacenter, and edge management ⎈ 🖥 ☁️
ml-tooling/opyrator
🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
redis/redis
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
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)