learning-at-home / collaborative-latent-diffusionLinks
Collaborative inference of latent diffusion via hivemind
☆12Updated 2 years ago
Alternatives and similar repositories for collaborative-latent-diffusion
Users that are interested in collaborative-latent-diffusion are comparing it to the libraries listed below
Sorting:
- A client library for LAION's effort to filter CommonCrawl with CLIP, building a large scale image-text dataset.☆32Updated 2 years ago
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆50Updated 3 years ago
- Latent Diffusion Language Models☆69Updated last year
- HomebrewNLP in JAX flavour for maintable TPU-Training☆50Updated last year
- A case study of efficient training of large language models using commodity hardware.☆68Updated 3 years ago
- QAmeleon introduces synthetic multilingual QA data using PaLM, a 540B large language model. This dataset was generated by prompt tuning P…☆34Updated 2 years ago
- One stop shop for all things carp☆59Updated 2 years ago
- A library for squeakily cleaning and filtering language datasets.☆47Updated 2 years ago
- My explorations into editing the knowledge and memories of an attention network☆35Updated 2 years ago
- ☆31Updated 2 months ago
- DiCE: The Infinitely Differentiable Monte-Carlo Estimator☆31Updated 2 years ago
- A sample pattern for running CI tests on Modal☆18Updated 4 months ago
- Automatically take good care of your preemptible TPUs☆36Updated 2 years ago
- Training a model similar to OpenAI DALL-E with volunteers from all over the Internet using hivemind and dalle-pytorch (NeurIPS 2021 demo)☆27Updated 2 years ago
- Load any clip model with a standardized interface☆22Updated last week
- 🚀🤗 A collection of templates for Hugging Face Spaces☆35Updated last year
- Engineering the state of RNN language models (Mamba, RWKV, etc.)☆32Updated last year
- AdaCat☆49Updated 3 years ago
- Train vision models using JAX and 🤗 transformers☆98Updated last week
- CLOOB training (JAX) and inference (JAX and PyTorch)☆72Updated 3 years ago
- ESGD-M is a stochastic non-convex second order optimizer, suitable for training deep learning models, for PyTorch.☆56Updated 2 years ago
- Training and evaluation code for the paper "Headless Language Models: Learning without Predicting with Contrastive Weight Tying" (https:/…☆27Updated last year
- A place to store reusable transformer components of my own creation or found on the interwebs☆60Updated this week
- Official code for "Distributed Deep Learning in Open Collaborations" (NeurIPS 2021)☆117Updated 3 years ago
- Codes and files for the paper Are Emergent Abilities in Large Language Models just In-Context Learning☆33Updated 7 months ago
- A GPT, made only of MLPs, in Jax☆58Updated 4 years ago
- Serialize JAX, Flax, Haiku, or Objax model params with 🤗`safetensors`☆45Updated last year
- Demonstration that finetuning RoPE model on larger sequences than the pre-trained model adapts the model context limit☆63Updated 2 years ago
- Easily run PyTorch on multiple GPUs & machines☆46Updated 2 months ago
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆131Updated last year