learning-at-home / collaborative-latent-diffusion
Collaborative inference of latent diffusion via hivemind
☆12Updated last year
Alternatives and similar repositories for collaborative-latent-diffusion:
Users that are interested in collaborative-latent-diffusion are comparing it to the libraries listed below
- Training a model similar to OpenAI DALL-E with volunteers from all over the Internet using hivemind and dalle-pytorch (NeurIPS 2021 demo)☆26Updated last year
- a pipeline for using api calls to agnostically convert unstructured data into structured training data☆29Updated 4 months ago
- Describe the format of image/text datasets☆11Updated 2 years ago
- DiCE: The Infinitely Differentiable Monte-Carlo Estimator☆31Updated last year
- "Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts" (NeurIPS 2020), original PyTorch implemen…☆53Updated 4 years ago
- Implementation of N-Grammer in Flax☆16Updated 2 years ago
- HomebrewNLP in JAX flavour for maintable TPU-Training☆47Updated last year
- Contains my experiments with the `big_vision` repo to train ViTs on ImageNet-1k.☆22Updated 2 years ago
- A client library for LAION's effort to filter CommonCrawl with CLIP, building a large scale image-text dataset.☆32Updated last year
- Load any clip model with a standardized interface☆21Updated 9 months ago
- Serialize JAX, Flax, Haiku, or Objax model params with 🤗`safetensors`☆43Updated 8 months ago
- Automatically take good care of your preemptible TPUs☆35Updated last year
- A library for squeakily cleaning and filtering language datasets.☆45Updated last year
- A sample pattern for running CI tests on Modal☆14Updated 4 months ago
- ☆15Updated 2 years ago
- QAmeleon introduces synthetic multilingual QA data using PaLM, a 540B large language model. This dataset was generated by prompt tuning P…☆34Updated last year
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆47Updated 3 years ago
- Train vision models using JAX and 🤗 transformers☆97Updated this week
- My explorations into editing the knowledge and memories of an attention network☆34Updated 2 years ago
- Parallel data preprocessing for NLP and ML.☆34Updated 2 months ago
- Demonstration that finetuning RoPE model on larger sequences than the pre-trained model adapts the model context limit☆63Updated last year
- CLOOB training (JAX) and inference (JAX and PyTorch)☆70Updated 2 years ago
- DALLE-tools provided useful dataset utilities to improve you workflow with WebDatasets.☆15Updated 2 years ago
- A case study of efficient training of large language models using commodity hardware.☆68Updated 2 years ago
- ☆27Updated 2 months ago
- The Intermediate Goal of the project is to train a GPT like architecture to learn to summarise reddit posts from human preferences, as th…☆12Updated 3 years ago
- Memory-efficient transformer. Work in progress.☆19Updated 2 years ago
- Stuff related to scraping the Code Review StackExchange☆11Updated 2 years ago
- ☆64Updated 2 years ago
- CHARacter-awaRE Diffusion: Multilingual Character-Aware Encoders for Font-Aware Diffusers That Can Actually Spell☆14Updated last year