M

Machine Learning

🔧🔗https://github.com/HumanSignal/label-studio-ml-backend

Configs and boilerplates for Label Studio's Machine Learning backend

LLMs from scratch

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step 🔧🔗https://github.com/rasbt/LLMs-from-scratch

🔧🔗https://github.com/transformerlab/transformerlab-api

API Server for Transformer Lab

🔧🔗https://github.com/MinishLab/model2vec

The Fastest State-of-the-Art Static Embeddings in the World

https://github.com/roboflow/roboflow-python The official Roboflow Python package. Manage your datasets, models, and deployments. Roboflow has everything you need to build a computer vision application.

🔧🔗https://github.com/google/uncertainty-baselines High-quality implementations of standard and SOTA methods on a variety of tasks.

A curated list of awesome Machine Learning frameworks, libraries and software.

🔧🔗https://github.com/codelion/adaptive-classifier A flexible, adaptive classification system for dynamic text classification

🔧🔗https://github.com/andrewkchan/yalm

Yet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O

🔧🔗https://github.com/MinishLab/tokenlearn

Pre-train Static Word Embeddings

🔧🔗https://github.com/pytorch/serve

Serve, optimize and scale PyTorch models in production

https://github.com/Lightning-AI/tutorials Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks. 🔗 https://lightning-ai.github.io/tutorials

🔧🔗https://github.com/poloclub/wizmap

Explore and interpret large embeddings in your browser with interactive visualization! 📍

https://github.com/Lightning-AI/lightning-Habana Lightning support for Intel Habana accelerators.

🔧🔗https://github.com/takara-ai/go-attention

A full attention mechanism and transformer in pure go.

🔧🔗https://gitlab.com/gitlab-org/modelops/mlops/gitlab-mlops

A Python client for integrating GitLab's MLOps features, specifically designed to leverage GitLab's experiment tracking and model registry capabilities. This client simplifies the management of machine learning workflows by combining MLflow's flexibility with GitLab's powerful MLOps tools.

🔧🔗https://github.com/takara-ai/SwarmFormer

A pytorch implementation of SwarmFormer for text classification.

🔧🔗https://github.com/jennyzzt/LLM_debate_on_ARC

LLM Debate on ARC dataset

https://github.com/princeton-nlp/CharXiv CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

🔧🔗https://github.com/pytorch/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration