slakula92

slakula92's Stars

• onnx/onnx

  Open standard for machine learning interoperability

  Language:Python17.7k4392.8k3.7k

• google/dopamine

  Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

  Language:Jupyter Notebook10.4k4251671.4k

• eriklindernoren/PyTorch-YOLOv3

  Minimal PyTorch implementation of YOLOv3

  Language:Python7.3k1037052.6k

• tensorflow/datasets

  TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

  Language:Python4.3k1091.2k1.5k

• openMVG/awesome_3DReconstruction_list

  A curated list of papers & resources linked to 3D reconstruction from images.

  4.1k30412833

• simoninithomas/Deep_reinforcement_learning_Course

  Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

  Language:Jupyter Notebook3.8k134741.2k

• facert/python-data-structure-cn

  problem-solving-with-algorithms-and-data-structure-using-python 中文版

  3.1k12615829

• adrienverge/yamllint

  A linter for YAML files.

  Language:Python2.8k34394270

• junfu1115/DANet

  Dual Attention Network for Scene Segmentation (CVPR2019)

  Language:Python2.4k36143483

• yhenon/pytorch-retinanet

  Pytorch implementation of RetinaNet object detection.

  Language:Python2.1k31221664

• qfgaohao/pytorch-ssd

  MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.

  Language:Python1.4k39172529

• chrischoy/3D-R2N2

  Single/multi view image(s) to voxel reconstruction using a recurrent neural network

  Language:Python1.3k6164293

• switchablenorms/Switchable-Normalization

  Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

  Language:HTML8672523132

• agrimgupta92/sgan

  Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

  Language:Python82018112260

• udacity/CVND_Exercises

  Exercise notebooks for CVND.

  Language:Jupyter Notebook7616010686

• zhengqili/MegaDepth

  Code of single-view depth prediction algorithm on Internet Photos described in "MegaDepth: Learning Single-View Depth Prediction from Internet Photos, Z. Li and N. Snavely, CVPR 2018".

  Language:Python7233453169

• foolwood/pytorch-slimming

  Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

  Language:Python564111695

• cemoody/topicsne

  t-SNE experiments in pytorch

  Language:Python47220485

• CodedK/CUDA-by-Example-source-code-for-the-book-s-examples-

  CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. The authors introduce each area of CUDA development through working examples.

  Language:C35145119

• ThibaultGROUEIX/3D-CODED

  Pytorch Implementation for the project : `3D-CODED` and `Learning Elementary Structure`

  Language:Python31994250

• MVIG-SJTU/WSHP

  Code for CVPR'18 spotlight "Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer"

  Language:Python299203453

• dylandjian/SuperGo

  A student implementation of Alpha Go Zero

  Language:Python27612861

• laughtervv/SGPN

  SGPN:Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation, CVPR, 2018

  Language:Python26894762

• zjuchenlong/sca-cnn.cvpr17

  Image Captions Generation with Spatial and Channel-wise Attention

  Language:Python20812073

• shaohua0116/Multiview2Novelview

  An official TensorFlow implementation of "Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence" (ECCV 2018) by Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, and Joseph J. Lim

  Language:Python20392033

• batra-mlp-lab/visdial-rl

  PyTorch code for Learning Cooperative Visual Dialog Agents using Deep Reinforcement Learning

  Language:Python170131039

• ronghanghu/speaker_follower

  Code release for Fried et al., Speaker-Follower Models for Vision-and-Language Navigation. in NeurIPS, 2018.

  Language:C++12772031

• xbresson/spatial_graph_convnets

  PyTorch implementation of residual gated graph ConvNets, ICLR’18

  Language:Jupyter Notebook1215134

• AceCoooool/RoIAlign-RoIPool-pytorch

  C++ extension implementation of RoIAlign & RolPool (both GPU and CPU) for PyTorch

  Language:C++714815

• fderue/SLIC_CUDA

  Superpixel SLIC for GPU (CUDA)

  Language:Cuda695517