stockeh

stockeh's Stars

• PicoMLX/PicoMLXServer

  The easiest way to run the fastest MLX-based LLMs locally

  Language:Swift20815

• mshumer/gpt-prompt-engineer

  Language:Jupyter Notebook9.4k643

• divelab/AIRS

  Artificial Intelligence Research for Science (AIRS)

  Language:Python51259

• ml-explore/mlx

  MLX: An array framework for Apple silicon

  Language:C++17k979

• mlx-chat/mlx-chat-app

  Chat with MLX is a high-performance macOS application that connects your local documents to a personalized large language model (LLM).

  Language:Python16210

• Bram94/NLradar

  Language:Python232

• understandable-machine-intelligence-lab/Quantus

  Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

  Language:Jupyter Notebook54776

• TristanBilot/mlx-benchmark

  Benchmark of Apple MLX operations on all Apple Silicon chips (GPU, CPU) + MPS and CUDA.

  Language:Python12223

• mmaiergerber/wk_spectra

  A Python package for the construction of the Wheeler-Kiladis Space-Time Spectra.

  Language:Python58

• google-deepmind/alphageometry

  Language:Python4.1k466

• brianpm/wavenumber_frequency

  Perform wavenumber-frequency analysis on gridded data.

  Language:Jupyter Notebook2912

• NVlabs/edm

  Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

  Language:Python1.4k142

• CompVis/fm-boosting

  FMBoost: Boosting Latent Diffusion with Flow Matching (ECCV 2024 Oral)

  Language:Python1783

• gaozhihan/PreDiff

  [NeurIPS 2023] Official implementation of "PreDiff: Precipitation Nowcasting with Latent Diffusion Models"

  Language:Python1005

• christina-winkler/cnfs-super-resolution

  Master thesis for the MSc. Artificial Intelligence at the University of Amsterdam, 2019. Topic: Super-resolution with Conditional Normalizing Flows.

  Language:Python204

• Kav-K/GPTDiscord

  A robust, all-in-one GPT interface for Discord. ChatGPT-style conversations, image generation, AI-moderation, custom indexes/knowledgebase, youtube summarizer, and more!

  Language:Python1.8k305

• anthias-labs/arbiter

  A blazing-fast Ethereum sandbox that lets developers orchestrate event-driven simulations.

  Language:Rust67865

• facebookresearch/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python30.4k6.4k

• quickgrid/pytorch-diffusion

  Implementation of diffusion models in pytorch for custom training.

  Language:Python334

• uvanlp/valda

  A Python Data Valuation Package

  Language:Python284

• 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

• twitter/the-algorithm-ml

  Source code for Twitter's Recommendation Algorithm

  Language:Python10.1k2.2k

• jaromiru/cwcf

  Source code for paper Classification with Costly Features using Deep Reinforcement Learning.

  Language:Python5323

• openai/baselines

  OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

  Language:Python15.8k4.9k

• MrSyee/pg-is-all-you-need

  Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

  Language:Jupyter Notebook859119

• Curt-Park/rainbow-is-all-you-need

  Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

  Language:Jupyter Notebook1.9k333

• p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

  PyTorch implementations of deep reinforcement learning algorithms and environments

  Language:Python5.6k1.2k

• NickleDave/thrillington

  Replication of "Recurrent models of visual attention", Mnih et al. 2014

  Language:Python5

• kevinzakka/recurrent-visual-attention

  A PyTorch Implementation of "Recurrent Models of Visual Attention"

  Language:Python469124

• steven-mi/Recurrent-Models-of-Visual-Attention-TF-2.0

  Implementation of Recurrent Attention Model which was described in the Paper Recurrent Visual Attention in Tensorflow 1.X and 2.X

  Language:Jupyter Notebook7