deep-learning
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Repositories (1427)
算法工程师-机器学习面试题总结
NBA sports betting using machine learning
Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
Implementation of Alphafold 3 from Google Deepmind in Pytorch
A unified framework for Deep Learning Models on tabular data
An offline deep reinforcement learning library
NYU Deep Learning Spring 2021
A state-of-the-art semi-supervised method for image recognition
Rainbow: Combining Improvements in Deep Reinforcement Learning
Deep probabilistic analysis of single-cell and spatial omics data
arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf feature vectors based on pape...
Frustum PointNets for 3D Object Detection from RGB-D Data
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
High-performance automatic differentiation of LLVM and MLIR.
:fire::fire: Deep Learning Head Pose Estimation using PyTorch.
[ICCV 2017] Torch code for Grad-CAM
Deep Learning for Time Series Classification
Collection of google colaboratory notebooks for fast and easy experiments
[UNMAINTAINED] Automated machine learning for analytics & production
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with sup...
BirdNET analyzer for scientific audio data processing.
Synthetic data generators for tabular and time-series data
General code to convert a trained keras model into an inference tensorflow model
🧠 A study guide to learn about Transformers
The basic distribution probability Tutorial for Deep Learning Researchers
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
Hyperparameter Experiments with TensorFlow and Keras
Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificat...
MixTeX multimodal LaTeX, ZhEn, and, Table OCR. It performs efficient CPU-based inference in a local offline on Windows.
To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, sof...
(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 gateway on Raspberry Pi and other edge devices
Deep Learning Papers on Medical Image Analysis
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/
Official Implementation of 'Fast AutoAugment' in PyTorch.
High Quality Monocular Depth Estimation via Transfer Learning
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.
Laser for control mosquito, weed, and pest
Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration
High-quality implementations of standard and SOTA methods on a variety of tasks.
Keras community contributions
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...
Distributed Deep learning with Keras & Spark
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.