mcubuktepe

mcubuktepe

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Awesome-Text2SQL

Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.

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px-cli

🪄 Package manager eXecutor for JavaScript projects

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LlamaGym

Fine-tune LLM agents with online reinforcement learning

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DAIL-SQL

A efficient and effective few-shot NL2SQL method on GPT-4.

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MindSQL

MindSQL: A Python Text-to-SQL RAG Library simplifying database interactions. Seamlessly integrates with PostgreSQL, MySQL, SQLite, Snowflake, and BigQuery. Powered by GPT-4 and Llama 2, it enables natural language queries. Supports ChromaDB and Faiss for context-aware responses.

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GaLore

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

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vanna

🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.

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haystack

:mag: LLM 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. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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RL4LMs

A modular RL library to fine-tune language models to human preferences

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cloud-foundation-fabric

End-to-end modular samples and landing zones toolkit for Terraform on GCP.

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Carla_Ray_Rlib

Carla-Simulator environment compatible with Ray/Rllib

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mdp-playground

A python package to design and debug RL agents.

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rllibsumoutils

Python3 library able to connect the RLLIB framework with the SUMO simulator.

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DGN

DGN Code

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rl

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

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ppo-implementation-details

The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization

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ElegantRL

Massively Parallel Deep Reinforcement Learning. 🔥

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pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

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cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

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tez

Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

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cvxpygen

Code generation with CVXPY

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trl

Train transformer language models with reinforcement learning.

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book

A Book about Pythonic Application Architecture Patterns for Managing Complexity. Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it "Cosmic Python" tho.

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Deep-Learning-In-Production

Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

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seed_rl

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

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