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Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

Open-Source AI Camera Skills Platform, AI NVR & CCTV Surveillance. Local VLM video analysis with Qwen, DeepSeek, SmolVLM, LLaVA, YOLO26. LLM-powered agentic security camera agent — watches, understands, remembers & guards your home via Telegram, Discord or Slack. Pluggable AI skills. OpenAI, Google, Anthropic or local AI. Runs on Mac Mini & AI PC.

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

A cross-platform video structuring (video analysis) framework based on CV models & mLLM.

AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓，同时包含工作和科研过程中的新想法、新问题、新资源与新项目

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

Learning to Rank in TensorFlow

Deep neural network to extract intelligent information from invoice documents.

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

FMA: A Dataset For Music Analysis

Build, personalize and control your own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6

A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun

LeetCode for PyTorch — 65 ML/AI interview problems from real interviews at Google, Meta, Anthropic. Jupyter notebooks, an auto-grader, and an MCP AI tutor.

Automatic architecture search and hyperparameter optimization for PyTorch

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

Machine learning metrics for distributed, scalable PyTorch applications.

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

SDG is a specialized framework designed to generate high-quality structured tabular data.

The collection of pre-trained, state-of-the-art AI models for ailia SDK

Graph Neural Networks with Keras and Tensorflow 2.

Run Mixtral-8x7B models in Colab or consumer desktops

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

Source-to-Source Debuggable Derivatives in Pure Python

A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.

An open source library and framework for deep learning on satellite and aerial imagery.

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Repository containing notebooks of my posts on Medium