C++ Implementation of PyTorch Tutorials for Everyone - prabhuomkar/pytorch-cpp

An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library. - EleutherAI/gpt-neo

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms - GitHub - rishikksh20/FNet-pytorch: Unofficial implementation of Google's FNet: Mixing Tokens with...

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data...

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translatio...

An open source implementation of CLIP. Contribute to mlfoundations/open_clip development by creating an account on GitHub.

ExtremeBERT is a toolkit that accelerates the pretraining of customized language models on customized datasets, described in the paper “ExtremeBERT: A Toolkit for Accelerating Pretraining of Custom...

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it'...

An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries - EleutherAI/gpt-neox

General technology for enabling AI capabilities w/ LLMs and MLLMs - microsoft/LMOps