Pycaffe tutorialTutorial for pycaffe, the Python API to the Neural Network framework, Caffe
Stars: ✭ 142 (-1.39%)
LessonmaterialsOpen Sourced Curriculum and Lessons for an Introductory AI/ML Course
Stars: ✭ 142 (-1.39%)
Cutout Random ErasingCutout / Random Erasing implementation, especially for ImageDataGenerator in Keras
Stars: ✭ 142 (-1.39%)
LacmusLacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.
Stars: ✭ 142 (-1.39%)
Dlfs codeCode for the book Deep Learning From Scratch, from O'Reilly September 2019
Stars: ✭ 142 (-1.39%)
Vmls CompanionsThese are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.
Stars: ✭ 142 (-1.39%)
GpA tutorial about Gaussian process regression
Stars: ✭ 141 (-2.08%)
Celeste.jlScalable inference for a generative model of astronomical images
Stars: ✭ 142 (-1.39%)
Svhnclassifier PytorchA PyTorch implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)
Stars: ✭ 141 (-2.08%)
UnetU-Net Biomedical Image Segmentation
Stars: ✭ 144 (+0%)
Jupytext.vimVim plugin for editing Jupyter ipynb files via jupytext
Stars: ✭ 142 (-1.39%)
VtubestudioPlaceholder for VTube Studio
Stars: ✭ 142 (-1.39%)
Pytorch tutorialA set of jupyter notebooks on pytorch functions with examples
Stars: ✭ 142 (-1.39%)
Byte Sized CodeA collection of Jupyter notebooks for learning Python from the ground up.
Stars: ✭ 142 (-1.39%)
Faster Rcnn tensorflowThis is a tensorflow re-implementation of Faster R-CNN: Towards Real-Time ObjectDetection with Region Proposal Networks.
Stars: ✭ 142 (-1.39%)
Deep and machine learning projectsThis Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.
Stars: ✭ 141 (-2.08%)
DisprcnnCode release for Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation (CVPR 2020)
Stars: ✭ 142 (-1.39%)
Elmo TutorialA short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)
Stars: ✭ 145 (+0.69%)
MainCS579: Online Social Network Analysis at the Illinois Institute of Technology
Stars: ✭ 143 (-0.69%)
Pandas tutorialPandas tutorial for SciPy2015 and SciPy2016 conference
Stars: ✭ 142 (-1.39%)
Multihead Siamese NetsImplementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.
Stars: ✭ 144 (+0%)
Visualizing cnnsUsing Keras and cats to visualize layers from CNNs
Stars: ✭ 143 (-0.69%)
Torchtext Summarytorchtext使用总结,从零开始逐步实现了torchtext文本预处理过程,包括截断补长,词表构建,使用预训练词向量,构建可用于PyTorch的可迭代数据等步骤。并结合Pytorch实现LSTM.
Stars: ✭ 142 (-1.39%)
Part2 Stars: ✭ 143 (-0.69%)
Data Analysis主要是爬虫与数据分析项目总结,外加建模与机器学习,模型的评估。
Stars: ✭ 142 (-1.39%)
AnimlReproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".
Stars: ✭ 143 (-0.69%)
Kdd winniethebestKDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall first place
Stars: ✭ 142 (-1.39%)
AlphatradingAn workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.
Stars: ✭ 144 (+0%)
DlaDeep learning for audio processing
Stars: ✭ 142 (-1.39%)
SelfconsistencyCode for the paper: Fighting Fake News: Image Splice Detection via Learned Self-Consistency
Stars: ✭ 143 (-0.69%)
NotebookCollection of jupyter notebooks for demonstrating software.
Stars: ✭ 141 (-2.08%)
Face RecognitionFace recognition and its application as attendance system
Stars: ✭ 143 (-0.69%)
Diy AlexaCommand recognition research
Stars: ✭ 143 (-0.69%)
GatorConda environment and package management extension from within Jupyter
Stars: ✭ 143 (-0.69%)