Lists (1)
Stars
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.
MOT using deepsort and yolov3 with pytorch
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
PyTorch Faster R-CNN Object Detection on Custom Dataset
Automated Machine Learning with scikit-learn
Robust Speech Recognition via Large-Scale Weak Supervision
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
PyTorch implementations of deep reinforcement learning algorithms and environments
PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tuning, ad-hoc coordination, and more.
Training and serving large-scale neural networks with auto parallelization.
A toolkit for developing and comparing reinforcement learning algorithms.
An educational resource to help anyone learn deep reinforcement learning.
A library of reinforcement learning components and agents
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A toolkit for reproducible reinforcement learning research.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Pytorch Lightning code guideline for conferences
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.