kewiuss

kewiuss's Stars

• facebookresearch/pytorchvideo

  A deep learning library for video understanding research.

  Language:Python3.2k395

• facebookresearch/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python29.8k6.3k

• cs231n/cs231n.github.io

  Public facing notes page

  Language:Jupyter Notebook10k4.1k

• Developer-Y/cs-video-courses

  List of Computer Science courses with video lectures.

  66k9k

• dmlc/gluon-cv

  Gluon CV Toolkit

  Language:Python5.8k1.2k

• Atcold/NYU-DLSP20

  NYU Deep Learning Spring 2020

  Language:Jupyter Notebook6.6k2.2k

• jinwchoi/awesome-action-recognition

  A curated list of action recognition and related area resources

  3.7k722

• google-deepmind/sonnet

  TensorFlow-based neural network library

  Language:Python9.7k1.3k

• google-deepmind/graph_nets

  Build Graph Nets in Tensorflow

  Language:Python5.3k783

• facebookresearch/pytorch3d

  PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

  Language:Python8.5k1.3k

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook23.5k3.1k

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.2k3k

• neuroailab/tnn

  Biologically-realistic recurrent convolutional neural networks

  Language:Python9413

• matterport/Mask_RCNN

  Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

  Language:Python24.4k11.7k

• google-ai-edge/mediapipe

  Cross-platform, customizable ML solutions for live and streaming media.

  Language:C++26.1k5k

• NVIDIA/DeepLearningExamples

  State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

  Language:Jupyter Notebook12.9k3.1k

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python28.5k9.3k

• ageron/handson-ml2

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook27.3k12.6k

• google-research/google-research

  Google Research

  Language:Jupyter Notebook33.4k7.8k

• lucidrains/linear-attention-transformer

  Transformer based on a variant of attention that is linear complexity in respect to sequence length

  Language:Python64265

• idiap/fast-transformers

  Pytorch library for fast transformer implementations

  Language:Python1.6k171

• NVlabs/stylegan2

  StyleGAN2 - Official TensorFlow Implementation

  Language:Python10.9k2.5k

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python76.8k45.8k

• danielegrattarola/spektral

  Graph Neural Networks with Keras and Tensorflow 2.

  Language:Python2.4k335

• google/neural-tangents

  Fast and Easy Infinite Neural Networks in Python

  Language:Jupyter Notebook2.2k228

• google-deepmind/acme

  A library of reinforcement learning components and agents

  Language:Python3.4k423