An open-source, tool-augmented conversational language model from Fudan University
- chatgpt
- deep-learning
- dialogue-systems
- large-language-models
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An open-source, tool-augmented conversational language model from Fudan University
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Open-source framework for conversational voice AI agents
Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software development tasks.This framework enables Claude to generate and manage its own tools, continuously expanding its capabilities through conversation. Available both as a CLI and a modern web interface
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
The awesome document factory
CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts.
A lightweight library for converting complex objects to and from simple Python datatypes.
A suite of utilities for converting to and working with CSV, the king of tabular file formats.
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Convolutional Neural Network for Text Classification in Tensorflow
Official git repository for Biopython (originally converted from CVS)
A simple, fully convolutional model for real-time instance segmentation.
A collection of scripts to flash Tuya IoT devices to alternative firmwares
A collection of important graph embedding, classification and representation learning papers with implementations.
A best practice for tensorflow project template architecture.
Tools to support converting a Python project into a standalone native application.
TensorFlow (Python API) implementation of Neural Style
StellarGraph - Machine Learning on Graphs
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot