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Code for the ProteinMPNN paper
🤖 MLE-Agent: Your intelligent companion for seamless AI engineering and research. 🔍 Integrate with arxiv and paper with code to provide better code/research plans 🧰 OpenAI, Anthropic, Gemini, Ollam…
Perplexica is an AI-powered answering engine. It is an Open source alternative to Perplexity AI
DSPy: The framework for programming—not prompting—language models
A high performance Python graph library implemented in Rust.
AI-powered journaling plugin for your Obsidian notes, inspired by cognitive behavioral therapy
CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
A package that makes it trivial to create and evaluate machine learning pipeline architectures.
Use MCMC to analyze districting plans and gerrymanders
Magnificent app which corrects your previous console command.
Pytorch Lightning code guideline for conferences
A Flow-based Generative Network for Speech Synthesis
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
MCU-Net: A framework towards uncertainty representations for decision support system patient referrals in healthcare contexts (KDD 2020, ICML UDL 2020)
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
This repository provides easy automation scripts for building a HPC environment in Azure. It also includes examples to build e2e environment and run some of the key HPC benchmarks and applications.
Gradient based Hyperparameter Tuning library in PyTorch
A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud
Keras implementations of Generative Adversarial Networks.
A python package to analyze and compare voices with deep learning
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.