deep-learning

[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

LLM training code for Databricks foundation models

An AI-Powered Speech Processing Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Enhancement, Separation, and Target Speaker Extraction, etc.

Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

Probabilistic reasoning and statistical analysis in TensorFlow

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试资源平台。涵盖AIGC、LLM大模型、AI Agent、具身智能、传统深度学习、计算机视觉、自然语言处理、自动驾驶、机器学习、强化学习、大数据挖掘、世界模型、元宇宙、AGI等AI行业面试笔试干货经验与核心跨周期知识。

A curated list of reinforcement learning with human feedback resources (continually updated)

RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry

A curated list of awesome data labeling tools

Papers on Computational Advertising

Simplify your onnx model

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

A library for scientific machine learning and physics-informed learning

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

A JavaScript deep learning and reinforcement learning library.

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

Data Science Roadmap from A to Z

Serve, optimize and scale PyTorch models in production