machine-learning

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

🌟100+ 原创 LLM / RL 原理图📚，《大模型算法》作者巨献！💥（100+ LLM/RL Algorithm Maps ）

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Relax! Flux is the ML library that doesn't make you tensor

A Rust machine learning framework.

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.

Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community

Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts

A collection of infrastructure and tools for research in neural network interpretability.

Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.

Next generation of automated data exploratory analysis and visualization platform.

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.