Popular GitHub Repositories for Op

OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database). Upload your own custom knowledge base files (PDF, txt, epub, etc) using a simple React frontend.

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

Grid2Op a testbed platform to model sequential decision making in power systems.

A set of simple tools for splitting, merging, OP deletion, size compression, rewriting attributes and constants, OP generation, change opset, change to the specified input order, addition of OP, RGB to BGR conversion, change batch size, batch rename of OP, and JSON convertion for ONNX models.

OpenDILab RL HPC OP Lib, including CUDA and Triton kernel

Hand-derived memory-efficient super lazy PyTorch VJPs for training LLMs on laptop, all using one op (bundled scaled matmuls).

[ICML 2024] Outlier-Efficient Hopfield Layers for Large Transformer-Based Models

Your AI Co-op Co-Pilot. AI-Driven Co-op Job Automation. Intelligent web scraping, personalized cover letters, and automated submissions for Carleton's MySuccess.

per op profiling in using Core ML MLComputePlan

Simple model Output OP Additional tools for ONNX.

Automatic Dialogflow chatbot creation using OpenAI-Pinecone stack. OpenAI Embeddings & Completions APIs, Pinecone, Dialogflow API

LLM-powered performance profiler for TouchDesigner. Captures live cook metrics, analyses OP graphs, and returns GPT-optimised suggestions for real-time systems.

Continuously checks torch.onnx op support status

Research implementation of Meta-Learning (MAML) in Multi-Agent Reinforcement Learning (MARL) for power grid control using L2RPN. This project explores how meta-learning can improve agent adaptation across varying grid topologies and operational scenarios, aiming for safer and more efficient grid management.

An AI-powered Reddit bot that leverages multiple LLM providers to asynchronously engage in debates and refute every argument made by OP or commenters.

Streamline your co-op search with LLMs!

Autonoom varen op de bospont.

Adaptive AI teammate for co-op games. Public dev of a small strategy game + PyTorch agent that steps in for missing players and learns their style. Weekly devlogs, experiments, Kaggle.

2022F SoC Co-op AutoML Pre-training in Agent Machine Learning Lab with Prof.Sungjin Ahn in 2022 Summer

Teenage Engineering OP-1 综合合成器 MCP 服务器