Tensors and Dynamic neural networks in Python with strong GPU acceleration
- neural-network
- autograd
- gpu
- numpy
Repository Index
47,133 repositories indexed
1–20 of 20 · Most stars
The machine learning toolkit for time series analysis in Python
- time-series
- timeseries
- time-series-analysis
- time-series-clustering
We propose Prism, a dynamic sparse attention framework for natively training joint video-audio generation models at 2K.
- diffusion-models
- high-resolution
- sparse-attention
- video-generation
Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
- tensors
- named-tensors
- shape
- pytorch
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
- gym
- pybullet
- reinforcement-learning
- control
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
- tensorflow
- ros
- deep-reinforcement-learning
- collision-avoidance
Dynamic Neural Networks Architect
Exascale multiphase flow solver — 2025 Gordon Bell Prize Finalist | 200T grid points on 43K+ GPUs
- gpu
- exascale
- cfd
- fortran
Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.)
We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.
- ai-aided-drug-discovery
- awesome
- drug-discovery
- molecular-docking
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
- deep-learning
- deep-neural-networks
- gradient-descent
- automatic-differentiation
InsNet Runs Instance-dependent Neural Networks with Padding-free Dynamic Batching.
- deep-learning-library
- dynamic-batching
- nlp
Golang Dynamic Decision Tree
- go
- golang
- decision-tree
- decison-trees
Cryptographic Dataset Generation & Modelling Framework
Reducing Bias in Modeling Real-world Password Strength via Deep Learning and Dynamic Dictionaries
Tensorflow Implementation of "Generating Videos with Scene Dynamics"
Dynamic Capacity Networks using Tensorflow
Autograd and GPGPU library for dynamic neural networks in D
A Single Library Parser to extract meta information,static analysis and detect macros within the files.
- malware-analysis
- pdf-parsing
- pe-executable
- office-files
Demo of high performance AI model (pmml export) evaluator api base on Vert.x, Supports dynamic routing configuration for multiple pmml models via JSON
- pmml
- ai
- java-pmml
- verticle