Comet's repositories
comet-examples
Examples of Machine Learning code using Comet.ml
issue-tracking
Questions, Help, and Issues for Comet ML
comet-for-mlflow
Comet-For-MLFlow Extension
comet-sdk-extensions
Open source contributions for integrations with comet_ml
ansible-playbill
Python library for invoking anisble playbooks from within other python programs
docker_upload
Build and upload docker images
comet-llm-legacy
This repo was replaced by opik: https://github.com/comet-ml/opik
pytorch-lightning
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
axolotl
Go ahead and axolotl questions
darenjacobs_k8s_flask_app
REST endpoint app
dify
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
druid
Apache Druid: a high performance real-time analytics database.
frontend-app-authn
Open edX micro-frontend application for new login and registration experience.
frontend-app-learning
Front-end for the Open edX course experience, implemented using React and Paragon.
git-semver-compute
MIRROR of https://git.sdf.org/CRThaze/git-semver-compute
gpt-neox
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
helm_chart_upgrade
GutHub action to install or upgrade helm chart
litellm
Python SDK, Proxy Server to call 100+ LLM APIs using the OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
llama-recipes
Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.
llama_index
LlamaIndex is a data framework for your LLM applications
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.