Popular GitHub Repositories for Optimistic Inital Values

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

The unofficial python package that returns response of Google Gemini through cookie values.

面向中文大模型价值观的评估与对齐研究

The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516

PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models(NeurIPS 2024 Spotlight)

Run larger LLMs with longer contexts on Apple Silicon by using differentiated precision for KV cache quantization. KVSplit enables 8-bit keys & 4-bit values, reducing memory by 59% with <1% quality loss. Includes benchmarking, visualization, and one-command setup. Optimized for M1/M2/M3 Macs with Metal support.

Awesome Deep Learning for Time-Series Imputation, including an unmissable paper list about applying neural networks to impute incomplete time series containing NaN missing values/data

The World's First Realtime onDevice AI Project to maintian Modestey and Religious values. Everyday AI companion designed for Muslim community to empower them maintain modesty, decency in the digital realm by blurring and covering Non-Mahram and Haram objects (NSFW), directly on screen on anywhere(offline,online,browser,videoplayer) in anytime.

A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.

TimeSHAP explains Recurrent Neural Network predictions.

Claudine, the only AI assistant you will ever need. An AI agent, which is using your machine as a window to external world, therefore perceiving your reality, values and needs, and reasoning how to fulfill them.

[ICML2025] Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment

Paper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Hot topics and good research groups. Paper summary

Official code repository for the paper: "The Implicit Values of A Good Hand Shake: Handheld Multi-Frame Neural Depth Refinement"

Predict bitcoin values using social sentiments (e.g. news and reddit posts)

This clustering based anomaly detection project implements unsupervised clustering algorithms on the NSL-KDD and IDS 2017 datasets

Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In this work, we present SymbolicGPT, a novel transformer-based language model for symbolic regression.

SORSA: Singular Values and Orthonormal Regularized Singular Vectors Adaptation of Large Language Models

Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)

Python+Rust implementation of the Probabilistic Principal Component Analysis model