Popular GitHub Repositories for Loss Visualization

Build and share delightful machine learning apps, all in Python. ? Star to support our work!

? A ranked list of awesome machine learning Python libraries. Updated weekly.

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

? Chat with your SQL database ?. Accurate Text-to-SQL Generation via LLMs using RAG ?.

Turns Data and AI algorithms into production-ready web applications in no time.

Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.

An open source implementation of CLIP.

Refine high-quality datasets and visual AI models

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

Learning Convolutional Neural Networks with Interactive Visualization.

Pytorch implementation of convolutional neural network visualization techniques

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

Uniform Manifold Approximation and Projection

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

Visualizations for machine learning datasets

File Parser optimised for LLM Ingestion with no loss ? Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.

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.

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

Tools to Design or Visualize Architecture of Neural Network