Hyperparameter Experiments with TensorFlow and Keras
- deep-learning
- keras
- keras-tensorflow
- hyperparameter-optimization
Repository Index
47,133 repositories indexed
145–168 of 233 · Most stars
Distributed Deep learning with Keras & Spark
World's first general purpose 3D object detection codebse.
- nuscenes
- 3d-object-detection
- point-cloud
- object-detection
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
- forecasting
- scikit-learn
- machine-learning
- python
MLBox is a powerful Automated Machine Learning python library.
- machine-learning
- auto-ml
- kaggle
- deep-learning
OpenMMLab Foundational Library for Training Deep Learning Models
gradslam is an open source differentiable dense SLAM library for PyTorch
StarDist - Object Detection with Star-convex Shapes
- bioimage-analysis
- cell-segmentation
- nuclei-segmentation
- object-detection
Portfolio optimization with deep learning.
- deep-learning
- portfolio-optimization
- finance
- machine-learning
Official Repository for the Uni-Mol Series Methods
- molecular-modeling
- pre-trained-model
- pretraining
- deep-learning
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
- language-modeling
- natural-language-generation
- machine-learning
- deep-learning
An autoML framework & toolkit for machine learning on graphs.
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
- reinforcement-learning
- python
- deep-learning
- gym
A curated list of gradient boosting research papers with implementations.
- gradient-boosting
- gradient-boosting-classifier
- gradient-boosting-machine
- gradient-boosted-trees
Scalable, event-driven, deep-learning-friendly backtesting library
- reinforcement-learning
- deep-reinforcement-learning
- gym-environment
- openai-gym
allRank is a framework for training learning-to-rank neural models based on PyTorch.
- learning-to-rank
- ndcg
- ranking
- information-retrieval
Pretrained model hub for Keras 3.
High level network definitions with pre-trained weights in TensorFlow
- tensorflow
- model
- zoo
- deep-learning
Combines the ease of use of scikit-learn with the power of Theano/Lasagne
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
- self-driving-car
- tensorflow
- reinforcement-learning
- unreal-engine
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
- pytorch
- deep-learning
- generative-adversarial-network
- trajectory-prediction
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
- hpc
- workflow
- workflow-automation
- workflow-management
PyTorch to Keras model convertor
- pytorch
- keras-model-convertor
- keras
- tensorflow