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Deep Learning

937 projects

Showing 36 of 937 projects

TensorWatch
TensorWatchJupyter Notebook

A debugging and visualization tool for data science, deep learning, and reinforcement learning in Jupyter Notebook.

#ai#data-science#deep-learning
Stars3.5k
Forks362
Last commit3 months ago
SRGAN
SRGANPython

Implementation of SRGAN for photo-realistic single image super-resolution using generative adversarial networks.

#vgg19#image-enhancement#super-resolution
Stars3.5k
Forks812
Last commit2 years ago
Colorization
ColorizationPython

Automatic and interactive image colorization using deep neural networks, with PyTorch models for ECCV 2016 and SIGGRAPH 2017 papers.

#automatic-colorization#deep-learning#neural-networks
Stars3.5k
Forks923
Last commit2 years ago
DyNet
DyNetC++

A neural network library optimized for dynamic structures that change per training instance, with C++ and Python bindings.

#cpp-library#auto-batching#research-toolkit
Stars3.4k
Forks701
Last commit2 years ago
OpenFold
OpenFoldPython

A trainable, memory-efficient PyTorch reproduction of AlphaFold 2 for protein structure prediction.

#alphafold2#protein-structure#deep-learning
Stars3.4k
Forks684
Last commit7 months ago
Catalyst: High-level utils for PyTorch DL & RL research. It was developed with a focus on reproducibility, fast experimentation and code/ideas reusing
Catalyst: High-level utils for PyTorch DL & RL research. It was developed with a focus on reproducibility, fast experimentation and code/ideas reusingPython

A PyTorch framework for deep learning research and development, focusing on reproducibility and rapid experimentation.

#model-training#deep-learning#automl
Stars3.4k
Forks400
Last commit
PennyLane
PennyLanePython

A cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry.

#quantum#quantum-hardware-integration#neural-network
Stars3.4k
Forks840
Last commit1 day ago
pennylane
pennylanePython

An open-source Python library for quantum computing, quantum machine learning, and quantum chemistry.

#quantum#neural-network#python-library
Stars3.4k
Forks840
Last commit1 day ago
PennyLane
PennyLanePython

A cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry.

#research-tool#quantum#neural-network
Stars3.4k
Forks840
Last commit1 day ago
audioFlux
audioFluxC

A deep learning library for audio and music analysis, providing time-frequency transforms and feature extraction for tasks like classification and MIR.

#c-library#music#audio-analysis
Stars3.3k
Forks145
Last commit4 months ago
DDSP
DDSPPython

A library of differentiable digital signal processing functions for interpretable audio synthesis in deep learning models.

#audio-synthesis#timbre-transfer#deep-learning
Stars3.3k
Forks383
Last commit15 days ago
Tensorforce
TensorforcePython

A modular TensorFlow library for applied reinforcement learning with a focus on flexible design and practical usability.

#system-control#applied-ai#deep-learning
Stars3.3k
Forks523
Last commit10 days ago
TensorForce - A TensorFlow library for applied reinforcement learning
TensorForce - A TensorFlow library for applied reinforcement learningPython

A modular TensorFlow library for applied reinforcement learning with a focus on flexible design and practical usability.

#research-tool#system-control#python-library
Stars3.3k
Forks523
Last commit
flownet2-pytorch
flownet2-pytorchPython

PyTorch implementation of FlowNet 2.0 for optical flow estimation using deep neural networks.

#cuda#deep-learning#neural-networks
Stars3.3k
Forks749
Last commit3 months ago
Haiku
HaikuPython

A JAX-based neural network library that provides a simple, object-oriented programming model for building and training models.

#jax#python-library#deep-learning
Stars3.3k
Forks300
Last commit15 days ago
Determined
DeterminedGo

An open-source machine learning platform for distributed training, hyperparameter tuning, experiment tracking, and resource management.

#distributed-training#hyperparameter-optimization#hyperparameter-tuning
Stars3.2k
Forks372
Last commit
captcha_trainer
captcha_trainerPython

A deep learning framework for training image classification models to solve complex captcha and OCR tasks.

#deep-learning#captcha-recognition#cnn
Stars3.2k
Forks823
Last commit8 months ago
TRFL
TRFLPython

A TensorFlow library providing building blocks for implementing Reinforcement Learning agents.

#deep-learning#rl-agents#tensorflow
Stars3.1k
Forks385
Last commit3 years ago
Neural Style
Neural StylePython

A TensorFlow implementation of neural style transfer for images and videos, blending content and artistic styles using convolutional neural networks.

#neural-style-transfer#video-processing#deep-learning
Stars3.1k
Forks808
Last commit
simpledet
simpledetPython

A simple and versatile framework for object detection and instance recognition with extensive model coverage and distributed training.

#research-tool#distributed-training#instance-segmentation
Stars3.1k
Forks483
Last commit4 years ago
rust-bert
rust-bertRust

A Rust-native port of Hugging Face Transformers providing ready-to-use NLP pipelines and transformer models like BERT, GPT2, and T5.

#transformer#transformer-models#deep-learning
Stars3.1k
Forks248
Last commit6 months ago
Awesome Image Classification
Awesome Image Classification

A curated list of deep learning image classification papers and their code implementations since 2014.

#research-papers#deep-learning#papers
Stars3.1k
Forks607
Last commit4 years ago
tf-agents
tf-agentsPython

A TensorFlow library for implementing, deploying, and testing Contextual Bandits and Reinforcement Learning algorithms.

#python-library#contextual-bandits#deep-learning
Stars3.0k
Forks754
Last commit6 months ago
pytorch_geometric_temporal
pytorch_geometric_temporalPython

A PyTorch library for spatiotemporal signal processing with dynamic and temporal graph neural networks.

#graph-neural-networks#temporal-graphs#deep-learning
Stars3.0k
Forks405
Last commit
QuantResearch
QuantResearchJupyter Notebook

A collection of Python notebooks and tools for quantitative finance research, including backtesting, machine learning, and portfolio optimization.

#backtesting#algorithmic-trading#deep-learning
Stars3.0k
Forks571
Last commit
RFdiffusion
RFdiffusionPython

An open-source diffusion model for generating and designing protein structures, including binders, symmetric oligomers, and motif-scaffolded proteins.

#deep-learning#diffusion-models#se3-transformers
Stars3.0k
Forks631
Last commit9 days ago
Awesome Deep Learning Music
Awesome Deep Learning MusicTeX

A curated list of scientific articles, theses, and reports on deep learning applied to music information retrieval and generation.

#music-technology#lists#audio-analysis
Stars3.0k
Forks346
Last commit
Equinox
EquinoxPython

A JAX library for neural networks and scientific computing with PyTorch-like syntax and full ecosystem compatibility.

#scientific-computing#gradient-based-optimization#jax
Stars2.9k
Forks207
Last commit25 days ago
Keras Tuner
Keras TunerPython

An easy-to-use, scalable hyperparameter optimization framework for Keras models with define-by-run syntax and built-in search algorithms.

#hyperparameter-optimization#python-library#deep-learning
Stars2.9k
Forks404
Last commit7 months ago
TorchAudio
TorchAudioPython

An audio library for PyTorch providing data manipulation, transformations, and dataset loaders for machine learning applications.

#deep-learning#signal-processing#gpu-acceleration
Stars2.9k
Forks787
Last commit1 day ago
Chatbot
ChatbotPython

A TensorFlow implementation of a neural conversational model (seq2seq) for building deep learning chatbots.

#neural-network#redis#deep-learning
Stars2.9k
Forks1.2k
Last commit3 years ago
Awesome Deblurring
Awesome Deblurring

A curated list of academic papers, datasets, and resources for image and video deblurring research.

#literature-review#video-deblurring#open-source
Stars2.9k
Forks373
Last commit1 year ago
Awesome Anomaly Detection
Awesome Anomaly Detection

A curated list of research papers, datasets, and resources for anomaly detection in time-series, video, and image data.

#anomaly#research-papers#outlier-detection
Stars2.9k
Forks511
Last commit3 years ago
thinc
thincPython

A lightweight deep learning library with a functional API for composing models, compatible with PyTorch, TensorFlow, and MXNet.

#ai#functional-programming#spacy
Stars2.9k
Forks294
Last commit3 months ago
computer-vision-in-action
computer-vision-in-actionJupyter Notebook

An interactive online learning platform for computer vision with a comprehensive Chinese ebook, code, and community.

#deep-learning#neural-networks#image-processing
Stars2.9k
Forks405
Last commit
whisper-timestamped
whisper-timestampedPython

A Python library that extends OpenAI's Whisper to provide accurate word-level timestamps and confidence scores for multilingual speech recognition.

#subtitle-generation#python-library#deep-learning
Stars2.8k
Forks212
Last commit
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