High level network definitions with pre-trained weights in TensorFlow
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- model
- zoo
- deep-learning
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High level network definitions with pre-trained weights in TensorFlow
Deep learning inference nodes for ROS / ROS2 with support for NVIDIA Jetson and TensorRT
Sparkling Water provides H2O functionality inside Spark cluster
R interface for Apache Spark
A scikit-learn based module for multi-label et. al. classification
Scalable Machine Learning with Dask
Combines the ease of use of scikit-learn with the power of Theano/Lasagne
Gibson Environments: Real-World Perception for Embodied Agents
🔧 A curated list of awesome dataset tools
Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.
A uniform interface to run deep learning models from multiple frameworks
Foundation Models for Genomics & Transcriptomics
PettingZoo and Gymnasium bindings for popular reinforcement learning environments outside of Farama
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
Rumale is a machine learning library in Ruby
CPU and GPU-accelerated Machine Learning Library
👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla
Distributed machine learning platform
A curated list of courses, online judges, visualizations, books and competitions for learning and practicing algorithms. English and Korean.
onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
:four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/