Tahahaha7

Tahahaha7's Stars

• PGM-Lab/bcause

  Language:Python61

• LadybirdBrowser/ladybird

  Truly independent web browser

  Language:C++21.6k952

• feedzai/timeshap

  TimeSHAP explains Recurrent Neural Network predictions.

  Language:Jupyter Notebook16130

• wandb/openui

  OpenUI let's you describe UI using your imagination, then see it rendered live.

  Language:TypeScript19.2k1.8k

• apple/pfl-research

  Simulation framework for accelerating research in Private Federated Learning

  Language:Jupyter Notebook29128

• ollama/ollama

  Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

  Language:Go96k7.6k

• facebookresearch/faiss

  A library for efficient similarity search and clustering of dense vectors.

  Language:C++31.2k3.6k

• pymc-labs/CausalPy

  A Python package for causal inference in quasi-experimental settings

  Language:Python89965

• zillow/quantile-forest

  Quantile Regression Forests compatible with scikit-learn.

  Language:Python20825

• microsoft/csuite

  CSuite: A Suite of Benchmark Datasets for Causality

  Language:TeX576

• google-deepmind/graphcast

  Language:Python4.6k587

• apple/ml-ferret

  Language:Python8.4k496

• ml-explore/mlx

  MLX: An array framework for Apple silicon

  Language:C++17k984

• py-why/dodiscover

  [Experimental] Global causal discovery algorithms

  Language:Python8418

• BasisResearch/chirho

  An experimental language for causal reasoning

  Language:Python16911

• meta-llama/llama

  Inference code for Llama models

  Language:Python56.3k9.6k

• google-deepmind/alphamissense

  Language:Python50965

• matteocourthoud/awesome-causal-inference

  A curated list of causal inference libraries, resources, and applications.

  815143

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python168k44.3k

• Nixtla/nixtla

  TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

  Language:Jupyter Notebook2.3k181

• pola-rs/polars

  Dataframes powered by a multithreaded, vectorized query engine, written in Rust

  Language:Rust30.1k1.9k

• wandb/weave

  Weave is a toolkit for developing AI-powered applications, built by Weights & Biases.

  Language:TypeScript69763

• openai/automated-interpretability

  Language:Python958113

• awesomedata/awesome-public-datasets

  A topic-centric list of HQ open datasets.

  60.8k9.9k

• microsoft/DeepSpeed

  DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

  Language:Python35.3k4.1k

• microsoft/JARVIS

  JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

  Language:Python23.7k2k

• BaseModelAI/cleora

  Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.

  Language:Jupyter Notebook48851

• microsoft/causica

  Language:Python44055

• wandb/wandb

  The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

  Language:Python9.1k673

• tristandeleu/jax-dag-gflownet

  Code for "Bayesian Structure Learning with Generative Flow Networks"

  Language:Python7816