TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
- computer-vision
- machine-learning
- deep-learning
- autonomous-vehicles
Repository Index
47,133 repositories indexed
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A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
- deep-learning
- pytorch
- deep-chemistry
- graph-neural-network
Library for exploring and validating machine learning data
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
- kmer
- dnabert-model
- kmer-format
- gpu
Bias Auditing & Fair ML Toolkit
- fairness
- bias
- machine-bias
- fairness-testing
A machine learning tool that ranks strings based on their relevance for malware analysis.
- machine-learning
- fireeye-flare
- strings
- malware-analysis
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
A curated list of Monte Carlo tree search papers with implementations.
- tree-search
- learning
- machine-learning
- deep-learning
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
- graph
- graph-sampling
- network-sampling
- random-walk
Python package for stacking (machine learning technique)
- stacking
- stacked-generalization
- explain-stacking
- stacking-tutorial
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
- python
- machine-learning
- random-forest
- tensorflow
Build fully-functioning computer vision models with PyTorch
Modular file scanning/analysis framework
- python
- analytic-machines
- analysis-framework
- python-script
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
- pipeline
- pipeline-framework
- machine-learning
- deep-learning
Module for statistical learning, with a particular emphasis on time-dependent modelling
- machine-learning
- python
- point-process
- optimization
Sharing Updatable Models (SUM) on Blockchain
- blockchain
- ml
- ai
- economics
QKeras: a quantization deep learning library for Tensorflow Keras
- deep-learning
- quantization
- quantized-neural-networks
- hardware-acceleration
🎯 A comprehensive gradient-free optimization framework written in Python
- metaheuristics
- optimization
- optimization-algorithms
- python
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
- tabular-data
- gans
- train-dataframe
- adversarial-filtering
Vision-Language Pathology Foundation Model - Nature Medicine
- bioimage-analysis
- bioimage-informatics
- conch
- foundation-model
A Euclidean diffusion model for structure-based drug design.
- ddpm
- drug-design
- equivariance
- generative-model
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
- autonomous-vehicles
- autonomous-driving
- carla
- perception
TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS.
- tensorlayerx
- tensorlayer
- tensorflow
- paddlepaddle
Automated Virtual Machine Generation and Cloaking for Cuckoo Sandbox.