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Discover 817 open source projects
Showing 501-520 of 817 projects
JustGlowing/minisom
A minimalistic implementation of the Self Organizing Maps (SOM) algorithm for clustering and dimensionality reduction.
mbadry1/CS231n-2017-Summary
A summary of the famous Stanford CS231n deep learning course, focused on helping developers learn and remember the material.
cvg/nice-slam
NICE-SLAM is a neural implicit approach for scalable 3D reconstruction and localization.
google/uncertainty-baselines
High-quality implementations of standard and state-of-the-art methods for Bayesian and probabilistic machine learning.
tensorflow/model-optimization
A toolkit to optimize machine learning models for deployment, including quantization and pruning.
sgrvinod/Deep-Tutorials-for-PyTorch
In-depth tutorials for implementing deep learning models with PyTorch, a popular machine learning framework.
ArztSamuel/Applying_EANNs
This 2D Unity simulation allows cars to learn to navigate through different courses using a feedforward neural network and genetic algorithm.
zubair-irshad/Awesome-Implicit-NeRF-Robotics
A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain.
zju3dv/EasyVolcap
EasyVolcap is a Python library that accelerates neural volumetric video research by providing a simple and efficient workflow.
fzliu/style-transfer
A Python implementation of the neural algorithm for artistic style transfer.
google-research/big_transfer
Official repository for the 'Big Transfer (BiT): General Visual Representation Learning' paper, focused on transfer learning for computer vision.
godweiyang/NN-CUDA-Example
Example code for custom CUDA operators in PyTorch
huggingface/pytorch-openai-transformer-lm
A PyTorch implementation of OpenAI's pre-trained transformer language model for fine-tuning and inference.
yu4u/age-gender-estimation
A Keras-based implementation of a CNN network for age and gender estimation from images.
dvgodoy/dl-visuals
A library of 200+ deep learning architecture diagrams and figures for use in blog posts, presentations, and papers.
Zymrael/awesome-neural-ode
A collection of resources for working with differential equations, deep learning, and dynamical systems.
Eric-mingjie/rethinking-network-pruning
A PyTorch library for rethinking network pruning techniques to improve model performance.
facebookresearch/fastMRI
A large-scale dataset of raw MRI measurements and clinical MRI images for medical imaging research.
sepandhaghighi/pycm
A Python library for creating multi-class confusion matrices, useful for evaluating machine learning models.
mpezeshki/pytorch_forward_forward
Implementation of an alternative to backpropagation for training neural networks using PyTorch.
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