Explore Projects
Discover 308 open source projects
Showing 201-220 of 308 projects
acids-ircam/RAVE
Official implementation of the RAVE model, a Realtime Audio Variational autoEncoder for generative audio AI.
elixir-nx/axon
Nx-powered Neural Networks library for building deep learning models in Elixir
victordibia/handtracking
A hand detection library for building computer vision applications using neural networks and TensorFlow.
neomatrix369/awesome-ai-ml-dl
A curated list of awesome AI, ML, and DL resources, including code, tutorials, and study notes.
mit-han-lab/torchquantum
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, and Quantum Neural Networks.
lyuchenyang/Macaw-LLM
Macaw-LLM is a multi-modal language modeling framework that integrates image, video, audio, and text data.
keras-team/keras-contrib
A community-driven repository for Keras, a popular deep learning library for Python.
maxpumperla/elephas
Distributed deep learning library for Keras and Spark, enabling scalable training of neural networks.
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.
google/uncertainty-baselines
High-quality implementations of standard and state-of-the-art methods for Bayesian and probabilistic machine learning.
ArztSamuel/Applying_EANNs
This 2D Unity simulation allows cars to learn to navigate through different courses using a feedforward neural network and genetic algorithm.
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.
dvgodoy/dl-visuals
A library of 200+ deep learning architecture diagrams and figures for use in blog posts, presentations, and papers.
sepandhaghighi/pycm
A Python library for creating multi-class confusion matrices, useful for evaluating machine learning models.
Xilinx/brevitas
Brevitas is a PyTorch library for neural network quantization, enabling efficient hardware acceleration on FPGAs and other devices.
bgavran/Category_Theory_Machine_Learning
A collection of papers studying machine learning through the lens of category theory for developers.
pkmital/CADL
A free MOOC course on creative applications of deep learning with TensorFlow for developers.
chainer/chainercv
ChainerCV is a Python library for deep learning in computer vision tasks such as object detection and segmentation.
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