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AutoML library for deep learning
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
ModelScope: bring the notion of Model-as-a-Service to life.
Deep universal probabilistic programming with Python and PyTorch
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
AI Toolkit for Healthcare Imaging
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Efficiently computes derivatives of NumPy code.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
TensorFlow documentation
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
mlpack: a fast, header-only C++ machine learning library
ECCV2022 - Real-Time Intermediate Flow Estimation for Video Frame Interpolation
Supercharge Your Model Training
Rust bindings for the C++ api of PyTorch.
Build Graph Nets in Tensorflow
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
Simple and Distributed Machine Learning
Probabilistic time series modeling in Python
Image augmentation library in Python for machine learning.
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
This repo contains the Hugging Face Deep Reinforcement Learning Course.