Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
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AI+金融（量化）：1.多因子股票量化框架开源教程 2.学界和业界的经典资料收录 3.AI + 金融的相关工作，包括LLM, Agent, benchmark(evaluation), etc.
- finance
- investment
- quant
- quantitative-finance
Official github repo for C-Eval, a Chinese evaluation suite for foundation models [NeurIPS 2023]
一个批量添加相机机型和拍摄参数的工具，后续「可能」添加其他功能。
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
- computer-vision
- machine-learning
- robotics
- tracking
[CVPR2024 Highlight] VBench - We Evaluate Video Generation
- aigc
- evaluation-kit
- gen-ai
- stable-diffusion
Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024
Fast BM25 search in Python, powered by Numpy and Numba
- bm25
- bm25-l
- bm25-plus
- lexical-search
AI on the way. An auto deep learning pipe dream. An RDBMS approach to deep learning. Declarative, explainable, scalable, optimizable, easy to deploy, all that good stuff.
WeMM-Embedding is a family of universal multimodal embedding models by the WeChat Vision Team at Tencent, supporting multimodal understanding and retrieval.
- embedding-models
- multimodal
- multimodal-llm
A high-speed covert tunnel that disguises TCP traffic as SMTP email communication to bypass Deep Packet Inspection (DPI) firewalls.
- censorship-circumvention
- censorship-resistance
- covert-tunnel
- deep-packet-inspection
心理健康大模型 (LLM x Mental Health), Pre & Post-training & Dataset & Evaluation & Depoly & RAG, with InternLM / Qwen / Baichuan / DeepSeek / Mixtral / LLama / GLM series models
Evaluate and Enhance Your LLM Deployments for Real-World Inference Needs
Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard
- glue
- language-understanding
- bert
- pre-trained-model
The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
- rag
- retrieval
- retrieval-augmented-generation
- clustering
A comprehensive time-series benchmark evaluating state-of-the-art deep learning architectures (PatchTST, TFT, N-HiTS) against traditional gradient boosting (CatBoost) for accurate 24-hour load prediction.
Python audio and music signal processing library
- audio-analysis
- signal-processing
- machine-learning
- music-information-retrieval
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
Build agentic systems. Run them with confidence. Orchestrate agents, automate business processes, inspect every execution, and keep humans in control. Deploy Heym on your own infrastructure.
Python implementations of the Boruta all-relevant feature selection method.
A tool for quickly evaluating IAM permissions in AWS.
- aws
- iam
- python
- botocore
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
- natural-language-generation
- natural-language-processing
- nlg
- nlp
Toolbox for quantitative trajectory evaluation of VO/VIO
Evaluate OMR sheets fast and accurately using a scanner 🖨 or your phone 🤳.
- opencv
- image-processing
- omr
- omr-sheet