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🦜🔗 Build context-aware reasoning applications
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
This repository contains the source code for the paper First Order Motion Model for Image Animation
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
This repository contains implementations and illustrative code to accompany DeepMind publications
High-Resolution Image Synthesis with Latent Diffusion Models
FinRL: Financial Reinforcement Learning. 🔥
Image restoration with neural networks but without learning.
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
A small package to create visualizations of PyTorch execution graphs
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at …
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
Efficient neural feature detector and descriptor
Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow