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🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
🦜🔗 Build context-aware reasoning applications
Unsupervised text tokenizer for Neural Network-based text generation.
This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22).
PDF summarizer that leverages GPT AI to generate summaries from uploaded PDF files. The application uses FastAPI for the backend and Streamlit for the frontend. The project was created with the ass…
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Code for the paper Hybrid Spectrogram and Waveform Source Separation
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
Fit interpretable models. Explain blackbox machine learning.
Python implementation of the rulefit algorithm
Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets --- https://arxiv.org/abs/2004.07999
Interactive Notation for Computational Graphs
PyTorch implementation of "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection"
Keras implementation of Graph Convolutional Networks
A python library for user-friendly forecasting and anomaly detection on time series.
Official Documentation for the bitbank.cc APIs and Streams