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Training and Detecting Objects with YOLO3

High Quality Monocular Depth Estimation via Transfer Learning

一行Docker命令部署的 OpenAI/GPT API代理，支持SSE流式返回、腾讯云函数 。Simple proxy for OpenAi api via a one-line docker command

Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)

AI Browser Automation

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

A powerful tool for automated LLM fuzzing. It is designed to help developers and security researchers identify and mitigate potential jailbreaks in their LLM APIs.

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows.

Official Implementation of 'Fast AutoAugment' in PyTorch.

`llm-chain` is a powerful rust crate for building chains in large language models allowing you to summarise text and complete complex tasks

High-quality implementations of standard and SOTA methods on a variety of tasks.

[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

AuK: An Open-Source Foundational Model for Speech Generation and Editing

A Cloudflare worker script to proxy OpenAI‘s request to Azure OpenAI Service

WebGLM: An Efficient Web-enhanced Question Answering System (KDD 2023)

The community's most comprehensive, continuously-updated index of research on Large Language Models for software vulnerability detection — papers across function-level, repository-level, agentic, and smart-contract detection, plus datasets, benchmarks, and surveys.

Chat with your data - AI data analysis and visualization on CSV, Postgres, MySQL, Snowflake, SQLite...

Charts as text in Markdown. Where they cannot draw, the numbers stay as a table.

Brevitas: neural network quantization in PyTorch

3,516 curated Figure 1 / teasers from ICLR, ICML, NeurIPS, CVPR, ACL, AAAI (2023-2026), with tier badges and FigureForge retrieval-augmented figure drafting

[CVPR 2025 Oral]Infinity ∞ : Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis

AgentEvolver: Towards Efficient Self-Evolving Agent System

Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration

Used for AI model generation, next-generation Blender rendering engine, texture enhancement&generation (based on ComfyUI)

INT4/INT5/INT8 and FP16 inference on CPU for RWKV language model

Chat language model that can use tools and interpret the results

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

A powerful and flexible machine learning platform for drug discovery

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

💬 Javascript library for the Twitch Messaging Interface. (Twitch.tv)

Nativ is an open-source local AI app for Mac. It runs open AI models on Apple Silicon, and nothing leaves your Mac.

Tiny Model, Big Logic: Diversity-Driven Optimization Elicits Large-Model Reasoning Ability in VibeThinker-1.5B

The AI-Native Infrastructure for Enterprise Apps. Powered by ObjectStack (ObjectQL, ObjectOS, Object UI). Turn Prompts into Enterprise Software.

Nvidia GPU exporter for prometheus using nvidia-smi binary OR using NVML

High quality, fast, modular reference implementation of SSD in PyTorch

Source-available agent platform for Global × China enterprises — wire every system through one agent core. Self-hosted, any LLM.

Extract and convert data from any document, images, pdfs, word doc, ppt or URL into multiple formats (Markdown, JSON, CSV, HTML) with intelligent structured data extraction and advanced OCR.

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

Keras community contributions

Collection of open-source libraries and tools for Robotic Process Automation (RPA), designed to be used with both Robot Framework and Python

UCCL is an efficient communication library for GPUs, covering collectives, P2P (e.g., KV cache transfer, RL weight transfer), and EP (e.g., GPU-driven)

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

The open LLM inference engine for AWS Trainium: NKI megakernels, 1M-token context, OpenAI-compatible API. By RunAnywhere.

make ASCII Art by Deep Learning

ComfyUI nodes for the Ultimate Stable Diffusion Upscale script by Coyote-A.

Automated deep learning algorithms implemented in PyTorch.