JoseVillagranE's Stars
ggerganov/llama.cpp
LLM inference in C/C++
nektos/act
Run your GitHub Actions locally 🚀
meta-llama/llama3
The official Meta Llama 3 GitHub site
hpcaitech/Open-Sora
Open-Sora: Democratizing Efficient Video Production for All
recommenders-team/recommenders
Best Practices on Recommendation Systems
guidance-ai/guidance
A guidance language for controlling large language models.
python/mypy
Optional static typing for Python
state-spaces/mamba
Mamba SSM architecture
pycaret/pycaret
An open-source, low-code machine learning library in Python
Farama-Foundation/Gymnasium
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
outlines-dev/outlines
Structured Text Generation
guardrails-ai/guardrails
Adding guardrails to large language models.
grahamjenson/list_of_recommender_systems
A List of Recommender Systems and Resources
Giskard-AI/giskard
🐢 Open-Source Evaluation & Testing for AI & LLM systems
facebookresearch/fairscale
PyTorch extensions for high performance and large scale training.
google-deepmind/dm-haiku
JAX-based neural network library
microsoft/aici
AICI: Prompts as (Wasm) Programs
alibaba/EasyRec
A framework for large scale recommendation algorithms.
pypose/pypose
A library for differentiable robotics.
instadeepai/jumanji
🕹️ A diverse suite of scalable reinforcement learning environments in JAX
RecList/reclist
Behavioral "black-box" testing for recommender systems
NVIDIA-Merlin/models
Merlin Models is a collection of deep learning recommender system model reference implementations
aws-samples/serverless-pdf-chat
LLM-powered document chat using Amazon Bedrock and AWS Serverless
mwilliamson/python-precisely
Matcher library for Python
GoogleCloudPlatform/automlops
Build MLOps Pipelines in Minutes
aws-samples/rag-using-langchain-amazon-bedrock-and-opensearch
RAG with langchain using Amazon Bedrock and Amazon OpenSearch
nikhil-ghosh-berkeley/loraplus
Vaibhavs10/translate-with-whisper
apple/ml-tic-clip
Repository for the paper: "TiC-CLIP: Continual Training of CLIP Models".
fastforwardlabs/session_based_recommenders
Official repo for FF19: Session-based Recommender Systems