deep-learning
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Repositories (1412)
[UNMAINTAINED] Automated machine learning for analytics & production
General code to convert a trained keras model into an inference tensorflow model
[ICCV 2017] Torch code for Grad-CAM
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
Hyperparameter Experiments with TensorFlow and Keras
Implementation of Alphafold 3 from Google Deepmind in Pytorch
The basic distribution probability Tutorial for Deep Learning Researchers
🧠A study guide to learn about Transformers
Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificat...
To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
NBA sports betting using machine learning
Collection of google colaboratory notebooks for fast and easy experiments
Synthetic data generators for tabular and time-series data
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with sup...
MixTeX multimodal LaTeX, ZhEn, and, Table OCR. It performs efficient CPU-based inference in a local offline on Windows.
Deep learning gateway on Raspberry Pi and other edge devices
(2020-2022)The PyTorch version of SiamFC，SiamRPN，DaSiamRPN, UpdateNet , SiamDW, SiamRPN++, SiamMask, SiamFC++, SiamCAR, SiamBAN, Ocean, LightTrac...
Machine Learning University: Accelerated Computer Vision Class
Deep Learning Papers on Medical Image Analysis
Official Implementation of 'Fast AutoAugment' in PyTorch.
Training and Detecting Objects with YOLO3
DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects: https://lfaidata.foundation/projects/delta/
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
High Quality Monocular Depth Estimation via Transfer Learning
Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.
Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration
Keras community contributions
A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, sof...
Distributed Deep learning with Keras & Spark
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help m...
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
PyTorch extensions for fast R&D prototyping and Kaggle farming
High-quality implementations of standard and SOTA methods on a variety of tasks.
make ASCII Art by Deep Learning
High quality, fast, modular reference implementation of SSD in PyTorch
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch
an implementation of 3D Ken Burns Effect from a Single Image using PyTorch
chatglm 6b finetuning and alpaca finetuning
AI for GNU Image Manipulation Program
A memory-efficient implementation of DenseNets
World's first general purpose 3D object detection codebse.
INT4/INT5/INT8 and FP16 inference on CPU for RWKV language model
A very simple generative adversarial network (GAN) in PyTorch
Laser for control mosquito, weed, and pest
MLBox is a powerful Automated Machine Learning python library.