M

Machine Learning

🔧🔗https://github.com/tensorzero/tensorzero TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluation, and experimentation

CUA

https://github.com/trycua/cua Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).

VSCode Jupyter

🔧🔗https://github.com/microsoft/vscode-jupyter

VS Code Jupyter extension

Ai Engineering Hub

🔧🔗https://github.com/patchy631/ai-engineering-hub In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.

🔧🔗github.com/bytedance/CausalMatch

CausalMatch is a research project aimed at integrating cutting-edge machine learning and econometrics methods to bring about automation in decision-making processes

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/MinishLab/model2vec

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

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

🔧🔗https://github.com/pytorch/serve

Serve, optimize and scale PyTorch models in production

🔧🔗 meta-llama/llama-recipes Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs.

🔧🔗https://github.com/ezelikman/parsel Code for Parsel 🐍 - generate complex programs with language models

🔧🔗https://github.com/suno-ai/bark Bark is a transformer-based text-to-audio model created by Suno